Pub Date : 2008-11-23DOI: 10.1109/IPTA.2008.4743735
Yara Bachalany, François Cabestaing, C. Vieren, S. Ambellouis
Recovering 3D motion of reflective objects in image sequences is still a cumbersome problem for computer vision. One common approach is to track geometric features of the object such as contours and edges since they are rather insensitive to light reflections. However, such basic features fail to recover the actual 3D motion in some cases. For example, the external contour of a sphere rotating about one of its axes remains static in the image. In this paper, we propose a new approach to 3D motion recovery of a reflective sphere visible in an image sequence. Instead of tracking only geometric features, our technique makes use of texture information in a slightly modified image alignment method. Unlike in classical image alignment methods, texture information is processed differently whether it comes from a diffuse or a specular light component. Using this technique, we show that motion estimation is not only possible when dealing with reflective objects, but also that specular components can offer information about the 3D motion. Finally, we present some results obtained from the analysis of image sequences.
{"title":"An Altered Image Alignment Technique for 3D Motion Estimation of a Reflective Sphere","authors":"Yara Bachalany, François Cabestaing, C. Vieren, S. Ambellouis","doi":"10.1109/IPTA.2008.4743735","DOIUrl":"https://doi.org/10.1109/IPTA.2008.4743735","url":null,"abstract":"Recovering 3D motion of reflective objects in image sequences is still a cumbersome problem for computer vision. One common approach is to track geometric features of the object such as contours and edges since they are rather insensitive to light reflections. However, such basic features fail to recover the actual 3D motion in some cases. For example, the external contour of a sphere rotating about one of its axes remains static in the image. In this paper, we propose a new approach to 3D motion recovery of a reflective sphere visible in an image sequence. Instead of tracking only geometric features, our technique makes use of texture information in a slightly modified image alignment method. Unlike in classical image alignment methods, texture information is processed differently whether it comes from a diffuse or a specular light component. Using this technique, we show that motion estimation is not only possible when dealing with reflective objects, but also that specular components can offer information about the 3D motion. Finally, we present some results obtained from the analysis of image sequences.","PeriodicalId":384072,"journal":{"name":"2008 First Workshops on Image Processing Theory, Tools and Applications","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115159625","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 : 2008-11-23DOI: 10.1109/IPTA.2008.4743797
Kurosh Madani
The main goal of this paper is to present artificial neural network potential, through main ANN models and based techniques, to solve real world industrial problems dealing with Image processing and pattern recognition fields.
{"title":"Artificial Neural Networks Based Image Processing & Pattern Recognition: From Concepts to Real-World Applications","authors":"Kurosh Madani","doi":"10.1109/IPTA.2008.4743797","DOIUrl":"https://doi.org/10.1109/IPTA.2008.4743797","url":null,"abstract":"The main goal of this paper is to present artificial neural network potential, through main ANN models and based techniques, to solve real world industrial problems dealing with Image processing and pattern recognition fields.","PeriodicalId":384072,"journal":{"name":"2008 First Workshops on Image Processing Theory, Tools and Applications","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117062885","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 : 2008-11-23DOI: 10.1109/IPTA.2008.4743787
A. Chaari, F. Cabestaing, D. Sellami-Masmoudi
In this paper, we describe a new approach to face image coding using Gabor Wavelet Networks (GWN). This type of network yields good results in many signal coding applications and was already used for face representation by Kruger in 2001. The main idea is to approximate the face image, considered as a two dimensional function, with a set of Gabor wavelets. We describe an improved network training technique, which uses several face images of the same person rather than a single one. This technique yields the model of the face image, but also statistical criteria defining the significance of each Gabor wavelet in this model.
{"title":"A New Approach to Face Image Coding using Gabor Wavelet Networks","authors":"A. Chaari, F. Cabestaing, D. Sellami-Masmoudi","doi":"10.1109/IPTA.2008.4743787","DOIUrl":"https://doi.org/10.1109/IPTA.2008.4743787","url":null,"abstract":"In this paper, we describe a new approach to face image coding using Gabor Wavelet Networks (GWN). This type of network yields good results in many signal coding applications and was already used for face representation by Kruger in 2001. The main idea is to approximate the face image, considered as a two dimensional function, with a set of Gabor wavelets. We describe an improved network training technique, which uses several face images of the same person rather than a single one. This technique yields the model of the face image, but also statistical criteria defining the significance of each Gabor wavelet in this model.","PeriodicalId":384072,"journal":{"name":"2008 First Workshops on Image Processing Theory, Tools and Applications","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116654949","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 : 2008-11-01DOI: 10.1109/IPTA.2008.4743743
K. Taouil, Z. Chtourou, L. Kamoun
Compliance with product specification and health measures is of major importance in agribusiness. Production idle time has to be kept to a minimum by preemptive maintenance and service. Operation of production lines has to be within severe safety conditions for workers as well as for food. Besides, high production rates need real time control that can't be done by human workers. Machine vision quality control is a very effective solution for real time quality control in high rate production lines. This paper discusses the feasibility of a video supervision system to be used for quality monitoring in olive oil conditioning line.
{"title":"Machine Vision Based Quality Monitoring in Olive Oil Conditioning","authors":"K. Taouil, Z. Chtourou, L. Kamoun","doi":"10.1109/IPTA.2008.4743743","DOIUrl":"https://doi.org/10.1109/IPTA.2008.4743743","url":null,"abstract":"Compliance with product specification and health measures is of major importance in agribusiness. Production idle time has to be kept to a minimum by preemptive maintenance and service. Operation of production lines has to be within severe safety conditions for workers as well as for food. Besides, high production rates need real time control that can't be done by human workers. Machine vision quality control is a very effective solution for real time quality control in high rate production lines. This paper discusses the feasibility of a video supervision system to be used for quality monitoring in olive oil conditioning line.","PeriodicalId":384072,"journal":{"name":"2008 First Workshops on Image Processing Theory, Tools and Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122431247","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 : 2008-11-01DOI: 10.1109/IPTA.2008.4743802
A. Benazza-Benyahia, J. Pesquet, C. Chaux
In this tutorial paper, we are interested in image denoising in the wavelet domain. The objective is to describe in a unifying framework the most relevant methods which exploit Stein's principle to build estimators for images embedded in Gaussian noise. The appealing advantage of Stein's Unbiased Risk Estimate (SURE) is that it does not require a priori knowledge about the statistics of the unknown data, while yielding an estimate of the quadratic risk only depending on the statistics of the observed data. Hence, it avoids the difficult problem of the estimation of the hyperparameters of some prior distribution, which classically needs to be addressed in Bayesian methods. We begin by formulating the noise reduction problem as a problem involving the minimization of criteria derived from Stein's principle. Then, we focus on the main methods operating on linear expansions of the observed image. Both cases of non redundant and overcomplete representations are addressed. Besides, a special attention is paid to multispectral images for which there is much gain to expect in exploiting the cross-channel correlations in the denoising procedure.
{"title":"Image Denoising in the Wavelet Transform Domain Based on Stein's Principle","authors":"A. Benazza-Benyahia, J. Pesquet, C. Chaux","doi":"10.1109/IPTA.2008.4743802","DOIUrl":"https://doi.org/10.1109/IPTA.2008.4743802","url":null,"abstract":"In this tutorial paper, we are interested in image denoising in the wavelet domain. The objective is to describe in a unifying framework the most relevant methods which exploit Stein's principle to build estimators for images embedded in Gaussian noise. The appealing advantage of Stein's Unbiased Risk Estimate (SURE) is that it does not require a priori knowledge about the statistics of the unknown data, while yielding an estimate of the quadratic risk only depending on the statistics of the observed data. Hence, it avoids the difficult problem of the estimation of the hyperparameters of some prior distribution, which classically needs to be addressed in Bayesian methods. We begin by formulating the noise reduction problem as a problem involving the minimization of criteria derived from Stein's principle. Then, we focus on the main methods operating on linear expansions of the observed image. Both cases of non redundant and overcomplete representations are addressed. Besides, a special attention is paid to multispectral images for which there is much gain to expect in exploiting the cross-channel correlations in the denoising procedure.","PeriodicalId":384072,"journal":{"name":"2008 First Workshops on Image Processing Theory, Tools and Applications","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122934533","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 : 2008-11-01DOI: 10.1109/IPTA.2008.4743790
M. Hentati, N. Ben Amor, K. Loukil, M. Abid, J. Diguet
The embedded systems are more and more complex. They must answer to contradictory constraints. Indeed, these systems integrate new functionalities that require high performance architectures. At the same time, these systems must be flexible and adaptive since they work in a fluctuating environment and have a quite unpredictable workload. In order to answer to all these constraints, we propose a new adaptive system that can adjust its performances according to the context. We are interesting in studying architectural adaptation technique in a reconfigurable platform. We focus in hardware/software interface impact on the system performance. A case study for the application "3D synthesis" is carried out.
{"title":"HW/SW Interface Impact on an Adaptive Multimedia System Performance: Case study","authors":"M. Hentati, N. Ben Amor, K. Loukil, M. Abid, J. Diguet","doi":"10.1109/IPTA.2008.4743790","DOIUrl":"https://doi.org/10.1109/IPTA.2008.4743790","url":null,"abstract":"The embedded systems are more and more complex. They must answer to contradictory constraints. Indeed, these systems integrate new functionalities that require high performance architectures. At the same time, these systems must be flexible and adaptive since they work in a fluctuating environment and have a quite unpredictable workload. In order to answer to all these constraints, we propose a new adaptive system that can adjust its performances according to the context. We are interesting in studying architectural adaptation technique in a reconfigurable platform. We focus in hardware/software interface impact on the system performance. A case study for the application \"3D synthesis\" is carried out.","PeriodicalId":384072,"journal":{"name":"2008 First Workshops on Image Processing Theory, Tools and Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129410505","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 : 2008-11-01DOI: 10.1109/IPTA.2008.4743740
D. Kovacs, E. Brassart, C. Drocourt
A research sector mattering in the medical environment, concerns the study of the neovascularization mechanisms from pre-existing capillary vessels: Angiogenesis. These researches are very important because they correspond to many physiological but also pathological processes: in particular the growth of tumors and the development of the metastases. In this paper we are interested in the particular case of chemotaxis in the field of the angiogenesis. Indeed studies show that according to molecules applied to tumors, the capillary and other vessels develop less quickly, and can be stopped. It allows to reduce the supply to blood nutriments of the tumor and eventually to provoke its degeneration. The study proposed in this paper shows a first application on this subject with a study on in vitro cultures of umbilical cells. During a voluntary incision in a culture of blood cells, and the injection of specific molecules on this wound, we determine the healing speed. The longer the healing time is, the more effective the molecule is. The image analysis that we propose here concerns the detection of blood cells in plate and the detection of the realized incision. The created software of images treatment and the reference images are available on the following site: /www.rteam.iut-amiens.fr/angioscin/.
{"title":"Automatic detection of chemotaxis cells in angiogenesis process","authors":"D. Kovacs, E. Brassart, C. Drocourt","doi":"10.1109/IPTA.2008.4743740","DOIUrl":"https://doi.org/10.1109/IPTA.2008.4743740","url":null,"abstract":"A research sector mattering in the medical environment, concerns the study of the neovascularization mechanisms from pre-existing capillary vessels: Angiogenesis. These researches are very important because they correspond to many physiological but also pathological processes: in particular the growth of tumors and the development of the metastases. In this paper we are interested in the particular case of chemotaxis in the field of the angiogenesis. Indeed studies show that according to molecules applied to tumors, the capillary and other vessels develop less quickly, and can be stopped. It allows to reduce the supply to blood nutriments of the tumor and eventually to provoke its degeneration. The study proposed in this paper shows a first application on this subject with a study on in vitro cultures of umbilical cells. During a voluntary incision in a culture of blood cells, and the injection of specific molecules on this wound, we determine the healing speed. The longer the healing time is, the more effective the molecule is. The image analysis that we propose here concerns the detection of blood cells in plate and the detection of the realized incision. The created software of images treatment and the reference images are available on the following site: /www.rteam.iut-amiens.fr/angioscin/.","PeriodicalId":384072,"journal":{"name":"2008 First Workshops on Image Processing Theory, Tools and Applications","volume":"13 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127595663","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 : 2008-11-01DOI: 10.1109/IPTA.2008.4743758
A. Sanchez, P. D. Suárez, C. Mello, A.L.I. Oliveira, V. Alves
This paper describes an original method to segment handwritten text lines from historical document images. After an initial preprocessing, we compute a black/white transition map to achieve a rough detection of the line regions in the image. Using this map, the corresponding line axes are extracted through a skeletonization algorithm and the conflicts between adjacent cutting lines are solved by some heuristics. Our approach was tested on a set of handwritten digitized documents (from the PROHIST Project database) from the end of the 19th century onwards. The proposed method worked well even with difficult images and it achieved an 82.18% of correct segmented lines for our database. The results of comparing our method with other recent proposal for automatic line extraction on the same test images offered more than a 38% of correct segmentation improvement.
{"title":"Text Line Segmentation in Images of Handwritten Historical Documents","authors":"A. Sanchez, P. D. Suárez, C. Mello, A.L.I. Oliveira, V. Alves","doi":"10.1109/IPTA.2008.4743758","DOIUrl":"https://doi.org/10.1109/IPTA.2008.4743758","url":null,"abstract":"This paper describes an original method to segment handwritten text lines from historical document images. After an initial preprocessing, we compute a black/white transition map to achieve a rough detection of the line regions in the image. Using this map, the corresponding line axes are extracted through a skeletonization algorithm and the conflicts between adjacent cutting lines are solved by some heuristics. Our approach was tested on a set of handwritten digitized documents (from the PROHIST Project database) from the end of the 19th century onwards. The proposed method worked well even with difficult images and it achieved an 82.18% of correct segmented lines for our database. The results of comparing our method with other recent proposal for automatic line extraction on the same test images offered more than a 38% of correct segmentation improvement.","PeriodicalId":384072,"journal":{"name":"2008 First Workshops on Image Processing Theory, Tools and Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126349969","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 : 2008-11-01DOI: 10.1109/IPTA.2008.4743792
Jang-Hee Yoo, Doosung Hwang, Kiyoung Moon, M. Nixon
We describe a new method for recognizing humans by their gait using back-propagation neural network. Here, the gait motion is described as rhythmic and periodic motion, and a 2D stick figure is extracted from gait silhouette by motion information with topological analysis guided by anatomical knowledge. A sequential set of 2D stick figures is used to represent the gait signature that is primitive data for the feature extraction based on motion parameters. Then, a back-propagation neural network algorithm is used to recognize humans by their gait patterns. In experiments, higher gait recognition performances have been achieved.
{"title":"Automated Human Recognition by Gait using Neural Network","authors":"Jang-Hee Yoo, Doosung Hwang, Kiyoung Moon, M. Nixon","doi":"10.1109/IPTA.2008.4743792","DOIUrl":"https://doi.org/10.1109/IPTA.2008.4743792","url":null,"abstract":"We describe a new method for recognizing humans by their gait using back-propagation neural network. Here, the gait motion is described as rhythmic and periodic motion, and a 2D stick figure is extracted from gait silhouette by motion information with topological analysis guided by anatomical knowledge. A sequential set of 2D stick figures is used to represent the gait signature that is primitive data for the feature extraction based on motion parameters. Then, a back-propagation neural network algorithm is used to recognize humans by their gait patterns. In experiments, higher gait recognition performances have been achieved.","PeriodicalId":384072,"journal":{"name":"2008 First Workshops on Image Processing Theory, Tools and Applications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133738521","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 : 2008-11-01DOI: 10.1109/IPTA.2008.4743800
William Puech
This tutorial presents the problem of protecting the transmission of medical images. The presented algorithms will be applied to images, videos and 3D objects. The main keywords are compression, encryption, watermarking and data hiding.
{"title":"Image Encryption and Compression for Medical Image Security","authors":"William Puech","doi":"10.1109/IPTA.2008.4743800","DOIUrl":"https://doi.org/10.1109/IPTA.2008.4743800","url":null,"abstract":"This tutorial presents the problem of protecting the transmission of medical images. The presented algorithms will be applied to images, videos and 3D objects. The main keywords are compression, encryption, watermarking and data hiding.","PeriodicalId":384072,"journal":{"name":"2008 First Workshops on Image Processing Theory, Tools and Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115067531","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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