Pub Date : 2024-01-01DOI: 10.21608/mjeer.2023.234331.1081
Doaa Y . Hussein, Mostafa Y. Makkey, Shimaa A. Abdelrahman
Abstract — Image fusion has become a commonly utilized technology for boosting the medical information in brain images. Magnetic resonance imaging (MRI) depicts the morphology of the brain tissue, it has great spatial resolution but lacks functional information. Positron emission tomography (PET) displays the brain with great function but low spatial resolution. Hence, a fusion of the two imaging techniques will help the neurologist to accurately identify Alzheimer's disease progression. In this paper, a new fusion method that combines two transformation approaches, triangular intensity-hue-saturation (IHS) and discrete wavelet transform (DWT), is introduced. DWT is applied to the intensity component of the PET image and the smoothed version of the MRI image. Wavelet coefficients are fused using a specific fusion rule for the low and high-frequency bands. Inverse DWT is applied to obtain a new intensity component, and the gray version is subtracted from the new intensity. The fused image is obtained by applying the inverse triangular IHS. For evaluation, quantitative measurement and statistical analysis are determined. The proposed method achieved discrepancy, average gradient, mutual information, and overall fusion performance of 7.0529, 5.3879, 0.6550, and 1.6651 respectively. The final results reveal that the proposed method achieved the highest performance compared with existing methods.
{"title":"Hybrid Fusion Approach for Alzheimer’s Disease Progression Employing IHS and Wavelet Transform","authors":"Doaa Y . Hussein, Mostafa Y. Makkey, Shimaa A. Abdelrahman","doi":"10.21608/mjeer.2023.234331.1081","DOIUrl":"https://doi.org/10.21608/mjeer.2023.234331.1081","url":null,"abstract":" Abstract — Image fusion has become a commonly utilized technology for boosting the medical information in brain images. Magnetic resonance imaging (MRI) depicts the morphology of the brain tissue, it has great spatial resolution but lacks functional information. Positron emission tomography (PET) displays the brain with great function but low spatial resolution. Hence, a fusion of the two imaging techniques will help the neurologist to accurately identify Alzheimer's disease progression. In this paper, a new fusion method that combines two transformation approaches, triangular intensity-hue-saturation (IHS) and discrete wavelet transform (DWT), is introduced. DWT is applied to the intensity component of the PET image and the smoothed version of the MRI image. Wavelet coefficients are fused using a specific fusion rule for the low and high-frequency bands. Inverse DWT is applied to obtain a new intensity component, and the gray version is subtracted from the new intensity. The fused image is obtained by applying the inverse triangular IHS. For evaluation, quantitative measurement and statistical analysis are determined. The proposed method achieved discrepancy, average gradient, mutual information, and overall fusion performance of 7.0529, 5.3879, 0.6550, and 1.6651 respectively. The final results reveal that the proposed method achieved the highest performance compared with existing methods.","PeriodicalId":475728,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"105 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140526243","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 : 2024-01-01DOI: 10.21608/mjeer.2023.233160.1080
Abeer Tawfeek, Mostafa Y. Makkey, Shimaa A. Abdelrahman
— The counting of white blood cells (WBCs) is an extremely essential measurement parameter to diagnose some particular diseases and identify various infections that are concealed within the human body. Within the hospital, manual counting of WBCs is time-consuming, laborious, and needs experienced experts for accurate results. Thus, computer-aided diagnosis methods can help pathologists to perform accurate counting with less effort. To achieve this, a new method for WBCs counting based on incorporating the marker-controlled watershed algorithm with morphological filters for a microscopic blood sample image is proposed in this paper. To begin with, color correction is applied to standardize the amount of color intensity in the original blood-smeared image. Segmentation of white blood cells is then carried out using hue-saturation-value (HSV) model color analysis with the Otsu threshold. Noise and undesirable regions that emerge during the segmentation process are removed using morphological filters. For overlapping WBCs, an effective segmentation method based on a watershed algorithm is introduced to overcome the limitations in the existing WBCs counting methods. Images from the ALL_IDB1 dataset are utilized to apply and evaluate the proposed approach. An accuracy of 95% is achieved in the counting of WBCs. The evaluation results reveal that the proposed method outperforms the accuracy of the traditional methods and overcomes their shortages.
{"title":"Segmentation and Counting of White Blood Cells Using Image Processing Techniques","authors":"Abeer Tawfeek, Mostafa Y. Makkey, Shimaa A. Abdelrahman","doi":"10.21608/mjeer.2023.233160.1080","DOIUrl":"https://doi.org/10.21608/mjeer.2023.233160.1080","url":null,"abstract":"— The counting of white blood cells (WBCs) is an extremely essential measurement parameter to diagnose some particular diseases and identify various infections that are concealed within the human body. Within the hospital, manual counting of WBCs is time-consuming, laborious, and needs experienced experts for accurate results. Thus, computer-aided diagnosis methods can help pathologists to perform accurate counting with less effort. To achieve this, a new method for WBCs counting based on incorporating the marker-controlled watershed algorithm with morphological filters for a microscopic blood sample image is proposed in this paper. To begin with, color correction is applied to standardize the amount of color intensity in the original blood-smeared image. Segmentation of white blood cells is then carried out using hue-saturation-value (HSV) model color analysis with the Otsu threshold. Noise and undesirable regions that emerge during the segmentation process are removed using morphological filters. For overlapping WBCs, an effective segmentation method based on a watershed algorithm is introduced to overcome the limitations in the existing WBCs counting methods. Images from the ALL_IDB1 dataset are utilized to apply and evaluate the proposed approach. An accuracy of 95% is achieved in the counting of WBCs. The evaluation results reveal that the proposed method outperforms the accuracy of the traditional methods and overcomes their shortages.","PeriodicalId":475728,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140524876","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 : 2024-01-01DOI: 10.21608/mjeer.2023.227581.1078
Ahmed G. Rahma, Talaat Abdelhamid
{"title":"Numerical simulation of steady and pulsating flow over an isothermal cylinder with varying corner radius","authors":"Ahmed G. Rahma, Talaat Abdelhamid","doi":"10.21608/mjeer.2023.227581.1078","DOIUrl":"https://doi.org/10.21608/mjeer.2023.227581.1078","url":null,"abstract":"","PeriodicalId":475728,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140519665","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 : 2024-01-01DOI: 10.21608/mjeer.2023.234859.1082
mohamed zaki, Wedad A. Elganini, Nasser. A. Saeed
—This study explores the dynamics of a piezoelectric energy harvester coupled with a master-slave system. The entire system is modeled as a two-degree-of-freedom system (2-DOF), along with a first-order differential equation governing the dynamics of the harvested voltage. The perturbation method is applied to derive the slow-flow modulating equations that govern the master-slave oscillation amplitudes and phases. By analyzing various response curves, the effects of different system parameters on both vibration amplitudes and harvesting voltage are investigated. The findings indicate that the system can be controlled as a vibration control or energy harvester. Optimal parameters for energy harvesting as well as for vibration control purposes are reported based on analytical investigations. The results are validated through numerical simulations with MATLAB algorithms (ODE45) using time response, phase plane, Poincaré map, and bifurcation diagram, where an excellent agreement between the numerical solutions and analytical investigations has been demonstrated.
{"title":"Energy Harvesting and Nonlinear Dynamics of a Two-Degree of Freedom Master-Slave System Integrated with a Piezoelectric Actuator","authors":"mohamed zaki, Wedad A. Elganini, Nasser. A. Saeed","doi":"10.21608/mjeer.2023.234859.1082","DOIUrl":"https://doi.org/10.21608/mjeer.2023.234859.1082","url":null,"abstract":"—This study explores the dynamics of a piezoelectric energy harvester coupled with a master-slave system. The entire system is modeled as a two-degree-of-freedom system (2-DOF), along with a first-order differential equation governing the dynamics of the harvested voltage. The perturbation method is applied to derive the slow-flow modulating equations that govern the master-slave oscillation amplitudes and phases. By analyzing various response curves, the effects of different system parameters on both vibration amplitudes and harvesting voltage are investigated. The findings indicate that the system can be controlled as a vibration control or energy harvester. Optimal parameters for energy harvesting as well as for vibration control purposes are reported based on analytical investigations. The results are validated through numerical simulations with MATLAB algorithms (ODE45) using time response, phase plane, Poincaré map, and bifurcation diagram, where an excellent agreement between the numerical solutions and analytical investigations has been demonstrated.","PeriodicalId":475728,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"30 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140524188","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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