Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942628
R. Atyali, S. R. Khot
An important information provided by the medical image to diagnose the disease can be enhanced through image fusion using different modalities. This paper introduces the fusion process which allows combination of features of different modality images. It consists of application of Discrete Wavelet Transform (DWT) and Principal Component Analysis (PCA) based fusion to multi-modality medical images, results in an easy and reliable technique to detect cancerous tissues through image fusion. The system defined below covers the PCA and DWT based image fusion quality analysis for detection of cancer tumour and the experimental results gives the effectiveness of fusion rule based on principal component analysis and discrete wavelet transform which preserves the original structural information from source image and also enhances the relevant information from the same.
{"title":"An enhancement in detection of brain cancer through image fusion","authors":"R. Atyali, S. R. Khot","doi":"10.1109/ICAECCT.2016.7942628","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942628","url":null,"abstract":"An important information provided by the medical image to diagnose the disease can be enhanced through image fusion using different modalities. This paper introduces the fusion process which allows combination of features of different modality images. It consists of application of Discrete Wavelet Transform (DWT) and Principal Component Analysis (PCA) based fusion to multi-modality medical images, results in an easy and reliable technique to detect cancerous tissues through image fusion. The system defined below covers the PCA and DWT based image fusion quality analysis for detection of cancer tumour and the experimental results gives the effectiveness of fusion rule based on principal component analysis and discrete wavelet transform which preserves the original structural information from source image and also enhances the relevant information from the same.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"9 1","pages":"438-442"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74262234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942591
S. Vernekar, Ingrid Nazareth, J. Parab, G. Naik
With the growing concern for environmental pollution and shrinking land resources available for agriculture, the need for sustainable agriculture is increasing. Soil sensing plays an important role in sustainable agriculture as it provides an insight into the various soil properties thus enabling the farmer to adjust the inputs accordingly. The aim of the study is to design a soil sensor and analyze the errors in the prediction of a soil nutrient. The manuscript describes a new method for soil nutrient sensing using RF spectroscopy. The technique can predict soil urea content and is based on multivariate analysis using the PLSR (Partial Least Square Regression) mathematical tool. Eight different combinations of five important soil nutrients (Urea, Potash, Phosphate, Salt, and Lime) at varying concentration were used to develop multivariate block. The Urea prediction algorithm takes into account the effect of various other soil nutrients present in the sample. The results obtained show that the percentage error in prediction of urea is within the tolerable limits of +/−5% of the actual value, when other soil nutrient concentrations are varied below and above their normal values. The method can be extended for sensing multiple nutrients simultaneously by modifying the algorithm.
{"title":"Error analysis in soil urea prediction based on RF spectroscopy","authors":"S. Vernekar, Ingrid Nazareth, J. Parab, G. Naik","doi":"10.1109/ICAECCT.2016.7942591","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942591","url":null,"abstract":"With the growing concern for environmental pollution and shrinking land resources available for agriculture, the need for sustainable agriculture is increasing. Soil sensing plays an important role in sustainable agriculture as it provides an insight into the various soil properties thus enabling the farmer to adjust the inputs accordingly. The aim of the study is to design a soil sensor and analyze the errors in the prediction of a soil nutrient. The manuscript describes a new method for soil nutrient sensing using RF spectroscopy. The technique can predict soil urea content and is based on multivariate analysis using the PLSR (Partial Least Square Regression) mathematical tool. Eight different combinations of five important soil nutrients (Urea, Potash, Phosphate, Salt, and Lime) at varying concentration were used to develop multivariate block. The Urea prediction algorithm takes into account the effect of various other soil nutrients present in the sample. The results obtained show that the percentage error in prediction of urea is within the tolerable limits of +/−5% of the actual value, when other soil nutrient concentrations are varied below and above their normal values. The method can be extended for sensing multiple nutrients simultaneously by modifying the algorithm.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"71 1","pages":"244-246"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77397354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942587
A. Deshmukh, Mohil Gala, S. Agrawal
Various configurations of slotted and shorted 60° Sector microstrip antennas for wider bandwidth are discussed. Slot tunes the spacing between shorted patch TM1/4,1 and TM1/4,0 resonant modes, that gives bandwidth of more than 800 MHz (>60%). The surface current distributions at modified shorted resonant modes were studied. Based on current variations against slot length, formulation in resonant length for shorted modes is proposed. Using proposed formulations frequencies were calculated. They show close agreement with simulated frequencies. The proposed formulations were further used to design slot cut gap-coupled shorted variations at different frequency on thicker air substrate. In all the configurations design procedure achieves wide band response.
{"title":"Design of gap-coupled variations of slotted and shorted 60° Sector microstrip antennas","authors":"A. Deshmukh, Mohil Gala, S. Agrawal","doi":"10.1109/ICAECCT.2016.7942587","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942587","url":null,"abstract":"Various configurations of slotted and shorted 60° Sector microstrip antennas for wider bandwidth are discussed. Slot tunes the spacing between shorted patch TM1/4,1 and TM1/4,0 resonant modes, that gives bandwidth of more than 800 MHz (>60%). The surface current distributions at modified shorted resonant modes were studied. Based on current variations against slot length, formulation in resonant length for shorted modes is proposed. Using proposed formulations frequencies were calculated. They show close agreement with simulated frequencies. The proposed formulations were further used to design slot cut gap-coupled shorted variations at different frequency on thicker air substrate. In all the configurations design procedure achieves wide band response.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"50 1","pages":"226-230"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86716858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942588
Deepa N. Reddy, Y. Ravinder
The most important components in cognitive radio (CR) system is spectrum sensing. In this paper we propose a novel method to determine the optimum number of Secondary users (SUs) necessary in the cooperative spectrum sensing environment for perfect reporting channel. At first the threshold selection is carried out considering present conditions of noise levels. The noise variance is estimated using Maximum likelihood estimator. Secondly the optimum number of SUs required in cooperative sensing are determined using the proposed scheme of threshold selection. The results show that the proposed method provides detection probability very close to the clairvoyant detector with known parameters. The optimum number of SUs and the error rates achieved in Cooperative sensing using the proposed method are close to that obtained by the classical detection.
{"title":"Evaluation of cooperative sensing for perfect reporting channels using dynamic detection threshold","authors":"Deepa N. Reddy, Y. Ravinder","doi":"10.1109/ICAECCT.2016.7942588","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942588","url":null,"abstract":"The most important components in cognitive radio (CR) system is spectrum sensing. In this paper we propose a novel method to determine the optimum number of Secondary users (SUs) necessary in the cooperative spectrum sensing environment for perfect reporting channel. At first the threshold selection is carried out considering present conditions of noise levels. The noise variance is estimated using Maximum likelihood estimator. Secondly the optimum number of SUs required in cooperative sensing are determined using the proposed scheme of threshold selection. The results show that the proposed method provides detection probability very close to the clairvoyant detector with known parameters. The optimum number of SUs and the error rates achieved in Cooperative sensing using the proposed method are close to that obtained by the classical detection.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"343 1","pages":"231-235"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79748560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942556
A. Shinde, Sharad S. Jagtap, V. Puranik
This paper based on the classification of the voltage signal on basis of quality. It can be achieved by various techniques according to applications and required accuracy. Feeder points at various locations of electrical substation play important role in reduction of noise from the supply voltage. However this is of less amount and considerable for general applications. In some industrial applications, this may cause a large loss due to the presence of noise. So for controlling the accuracy one can design a system which overcomes the problems arising due to noise. Using MATLAB software it is implemented for detection and identification. It has various algorithms like KNN, SVM and RBF. SVM is the powerful tool in MATLAB for identification and Classification of voltage signals, images as well as music signals. For this detection of signals, a database is applied for any type of transform. It is better to use wavelet transform for feature extraction purpose. This paper gives solution for identification and sorting of different noises in voltage signals using the pair of wavelet transform and SVM.
{"title":"Identification and sorting of power quality disturbances using signal processing with GUI","authors":"A. Shinde, Sharad S. Jagtap, V. Puranik","doi":"10.1109/ICAECCT.2016.7942556","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942556","url":null,"abstract":"This paper based on the classification of the voltage signal on basis of quality. It can be achieved by various techniques according to applications and required accuracy. Feeder points at various locations of electrical substation play important role in reduction of noise from the supply voltage. However this is of less amount and considerable for general applications. In some industrial applications, this may cause a large loss due to the presence of noise. So for controlling the accuracy one can design a system which overcomes the problems arising due to noise. Using MATLAB software it is implemented for detection and identification. It has various algorithms like KNN, SVM and RBF. SVM is the powerful tool in MATLAB for identification and Classification of voltage signals, images as well as music signals. For this detection of signals, a database is applied for any type of transform. It is better to use wavelet transform for feature extraction purpose. This paper gives solution for identification and sorting of different noises in voltage signals using the pair of wavelet transform and SVM.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"17 1","pages":"60-63"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78669839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942555
Vaishali Shirsath, M. Dongare
Two gait phase estimation method to control the above knee prosthesis is discussed in this paper. A rule base quantization and an ANN based system is preferred for controlling various parameters such as motion, torque required in walking with the help of prosthetic leg. Microcontroller based semi-active knee prosthesis in order to respond patients demands and adapt environmental conditions such as whether are considered. A design is suggested to measure experimental environment in which gait data is collected for both inertial as well as image based measurement systems. The inertial measurement system consist of MEM accelerometers as well as gyroscopes to identify direct motion measurement of controlling parameter using microcontroller. The image based measurement system is used to verify the above measured data from the prosthetic leg. Various advantages of proposed system is discussed in this paper.
{"title":"Neural network based gait phases of above knee prosthesis","authors":"Vaishali Shirsath, M. Dongare","doi":"10.1109/ICAECCT.2016.7942555","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942555","url":null,"abstract":"Two gait phase estimation method to control the above knee prosthesis is discussed in this paper. A rule base quantization and an ANN based system is preferred for controlling various parameters such as motion, torque required in walking with the help of prosthetic leg. Microcontroller based semi-active knee prosthesis in order to respond patients demands and adapt environmental conditions such as whether are considered. A design is suggested to measure experimental environment in which gait data is collected for both inertial as well as image based measurement systems. The inertial measurement system consist of MEM accelerometers as well as gyroscopes to identify direct motion measurement of controlling parameter using microcontroller. The image based measurement system is used to verify the above measured data from the prosthetic leg. Various advantages of proposed system is discussed in this paper.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"40 1","pages":"55-59"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82643133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942626
S. Bhisikar, S. Kale
Arthritis is an inflammatory disease which causes erosion in bones or narrowing of joint space in various joints of the body. First symptom of this disease is seen in joints of hand finger and wrist joints thus making hand radiograph analysis extremely important. Lately Reading hand X-ray radiographic image to measure joint space width is very tedious and time consuming task for the radiologist since there are 14 joints in hand and also the structure of hand is complicated to carry out joint space width measurement and analysis. It has certain disadvantages like inaccuracy because of visual measurement and also variation from one reader to another, which can be overcome by automatic technique that can serve as a powerful aid for peoples suffering from disability due to pain, stiffness in joints. In this paper, Image processing based algorithm is developed to yield solution to two major problems joint detection and JSW measurement. The algorithm is divided into following steps, First image preprocessing is carried out using Gaussian filter. Second hand mask is extracted by separating foreground and background by using Otsu's binarization method. Third morphological thinning is applied to get thinned skeleton of binarized image. Fourth To detect joint location in original X-ray image Gabor filter is used. Fifth edge Finally of minimal joint space width is extracted and analyzed automatically. We have experimented 10 digital hand X-ray radiograph of resolution 2000pixels×2000pixels and calculated 120 readings of JSW of finger joints successfully.
{"title":"Automatic joint detection and measurement of joint space width in arthritis","authors":"S. Bhisikar, S. Kale","doi":"10.1109/ICAECCT.2016.7942626","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942626","url":null,"abstract":"Arthritis is an inflammatory disease which causes erosion in bones or narrowing of joint space in various joints of the body. First symptom of this disease is seen in joints of hand finger and wrist joints thus making hand radiograph analysis extremely important. Lately Reading hand X-ray radiographic image to measure joint space width is very tedious and time consuming task for the radiologist since there are 14 joints in hand and also the structure of hand is complicated to carry out joint space width measurement and analysis. It has certain disadvantages like inaccuracy because of visual measurement and also variation from one reader to another, which can be overcome by automatic technique that can serve as a powerful aid for peoples suffering from disability due to pain, stiffness in joints. In this paper, Image processing based algorithm is developed to yield solution to two major problems joint detection and JSW measurement. The algorithm is divided into following steps, First image preprocessing is carried out using Gaussian filter. Second hand mask is extracted by separating foreground and background by using Otsu's binarization method. Third morphological thinning is applied to get thinned skeleton of binarized image. Fourth To detect joint location in original X-ray image Gabor filter is used. Fifth edge Finally of minimal joint space width is extracted and analyzed automatically. We have experimented 10 digital hand X-ray radiograph of resolution 2000pixels×2000pixels and calculated 120 readings of JSW of finger joints successfully.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"6 1","pages":"429-432"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74392947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942633
Mazher Khan, D. M., Sayyad Ajij D.
In Mobile Ad-hoc Network (MANET), there is no centralized infrastructure. Nodes are free to move anywhere in the network so routing is very challenging task. Mobile nodes are responsible for link failure, interference and congestion. Congestion is one of the main reasons for degradation of performance of network. When traffic in the network increases over the stipulated capacity, congestion takes place. The traditional routing protocols are not effective for addressing the received signal strength related problems. In this paper, authors designed a new algorithm using the combination of Ad-hoc on Demand Distance Vector (AODV) and Cross layer design approach. It is referred as Congestion Control AODV (CCAODV) approach. It is used to avoid link break in MANET. Received signal strength is used as cross layer design parameter. The CCAODV protocol creates strong and stable route by using signal strength of node. The signal strength mainly depends on the parameters like transmission power of node and distance between two nodes. The cross layer design approach is tested by using Ns 2.35 simulator and compared with the AODV routing protocol.
{"title":"Cross layer design approach for Congestion Control in MANETs","authors":"Mazher Khan, D. M., Sayyad Ajij D.","doi":"10.1109/ICAECCT.2016.7942633","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942633","url":null,"abstract":"In Mobile Ad-hoc Network (MANET), there is no centralized infrastructure. Nodes are free to move anywhere in the network so routing is very challenging task. Mobile nodes are responsible for link failure, interference and congestion. Congestion is one of the main reasons for degradation of performance of network. When traffic in the network increases over the stipulated capacity, congestion takes place. The traditional routing protocols are not effective for addressing the received signal strength related problems. In this paper, authors designed a new algorithm using the combination of Ad-hoc on Demand Distance Vector (AODV) and Cross layer design approach. It is referred as Congestion Control AODV (CCAODV) approach. It is used to avoid link break in MANET. Received signal strength is used as cross layer design parameter. The CCAODV protocol creates strong and stable route by using signal strength of node. The signal strength mainly depends on the parameters like transmission power of node and distance between two nodes. The cross layer design approach is tested by using Ns 2.35 simulator and compared with the AODV routing protocol.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"9 1","pages":"464-468"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78876972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942577
S. Shete, G. Bhide, M. Jadhav
With rapid growth in communication orthogonal frequency division multiplexing (OFDM) is multi-carrier communication technique becomes more popular which is used in both wired and wireless communication. OFDM consist of multiple carriers over single channel for signal transmission. OFDM is the time domain signal which is made up of several sinusoids and due to this sinusoids Peak to Average Power Ratio (PAPR)of OFDM signal increases. Due to this high PAPR transmission efficiency reduces so PAPR is major drawback of OFDM. There are several PAPR reduction techniques but, pre-coding techniques shows better result. In this paper, we propose Walsh Hadamard Transform (WHT) and Double Walsh Hadamard Transform (Double WHT). The proposed scheme shows the better results.
{"title":"WHT and Double WHT: An effective PAPR reduction approach in OFDM","authors":"S. Shete, G. Bhide, M. Jadhav","doi":"10.1109/ICAECCT.2016.7942577","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942577","url":null,"abstract":"With rapid growth in communication orthogonal frequency division multiplexing (OFDM) is multi-carrier communication technique becomes more popular which is used in both wired and wireless communication. OFDM consist of multiple carriers over single channel for signal transmission. OFDM is the time domain signal which is made up of several sinusoids and due to this sinusoids Peak to Average Power Ratio (PAPR)of OFDM signal increases. Due to this high PAPR transmission efficiency reduces so PAPR is major drawback of OFDM. There are several PAPR reduction techniques but, pre-coding techniques shows better result. In this paper, we propose Walsh Hadamard Transform (WHT) and Double Walsh Hadamard Transform (Double WHT). The proposed scheme shows the better results.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"16 1","pages":"172-175"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87048612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/ICAECCT.2016.7942614
D. R. Sonawane, S. Apte
Now days to prevent malicious use of original companies logos or identity, the automated image processing based frameworks are presented. The process of logo detection and recognition hence becoming the vital task for various applications. In this project we are presenting automated framework for logo detection using the real world logos images and its test image. Basically the working is that input query image is taken and big database of logos with goal of recognizing the logo in query image if any. Previously efficient method presented which outperform the existing method in terms of FRR and FPR. During this paper we are contributing by using RANSAC in which Fast Retina Keypoint (FREAK) descriptor is extracted for further matching and recognition process rather than using existing SIFT technique. The recent method for logo recognition and detection process is based on methodology of CDS (Context Dependent Similarity) which directly local features spatial context. Basically this CDS method using the SIFT method for initial keypoints extraction and then further matching process along with detection is done. The goal of our proposed CDS with RANSAC is to improve the recognition accuracy and to minimize the error rate performance. The RANSAC method is using FREAK technique for keypoints extraction which is superior as compared to SIFT.
{"title":"Improved Context Dependent logo matching framework using FREAK method","authors":"D. R. Sonawane, S. Apte","doi":"10.1109/ICAECCT.2016.7942614","DOIUrl":"https://doi.org/10.1109/ICAECCT.2016.7942614","url":null,"abstract":"Now days to prevent malicious use of original companies logos or identity, the automated image processing based frameworks are presented. The process of logo detection and recognition hence becoming the vital task for various applications. In this project we are presenting automated framework for logo detection using the real world logos images and its test image. Basically the working is that input query image is taken and big database of logos with goal of recognizing the logo in query image if any. Previously efficient method presented which outperform the existing method in terms of FRR and FPR. During this paper we are contributing by using RANSAC in which Fast Retina Keypoint (FREAK) descriptor is extracted for further matching and recognition process rather than using existing SIFT technique. The recent method for logo recognition and detection process is based on methodology of CDS (Context Dependent Similarity) which directly local features spatial context. Basically this CDS method using the SIFT method for initial keypoints extraction and then further matching process along with detection is done. The goal of our proposed CDS with RANSAC is to improve the recognition accuracy and to minimize the error rate performance. The RANSAC method is using FREAK technique for keypoints extraction which is superior as compared to SIFT.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"43 1","pages":"362-366"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80861479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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