Pub Date : 2023-01-01DOI: 10.1504/ijsise.2023.133655
Nabila Rahmoune, Adel Rahmoune
Changes in retinal blood vessels are a characteristic sign of many retinal diseases. Therefore, the automatic segmentation of vessels is an essential element for the diagnosis of different ocular diseases. In this paper, we present a novel algorithm for the detection and the segmentation of the vascular network of blood vessels in fundus images. Our algorithm employs two mean linear filters using the convolutional kernel, one directional along a line and the second on a square region, in combination with thresholding. The proposed approach's performance was tested on the public datasets DRIVE and STARE. Based on the test results, the mean segmentation accuracy, sensitivity, specificity and time complexity of retinal images in DRIVE are 94.27%, 97.01%, 66.20% and 1.63 s and for the STARE database, they are 93.41%, 95.54%, 66.55% and 2.13 s respectively. The proposed algorithm is simple and very fast. It achieved satisfactory mean segmentation accuracy with very low time complexity.
{"title":"Segmentation and detection of the retinal vascular network using fast filtering","authors":"Nabila Rahmoune, Adel Rahmoune","doi":"10.1504/ijsise.2023.133655","DOIUrl":"https://doi.org/10.1504/ijsise.2023.133655","url":null,"abstract":"Changes in retinal blood vessels are a characteristic sign of many retinal diseases. Therefore, the automatic segmentation of vessels is an essential element for the diagnosis of different ocular diseases. In this paper, we present a novel algorithm for the detection and the segmentation of the vascular network of blood vessels in fundus images. Our algorithm employs two mean linear filters using the convolutional kernel, one directional along a line and the second on a square region, in combination with thresholding. The proposed approach's performance was tested on the public datasets DRIVE and STARE. Based on the test results, the mean segmentation accuracy, sensitivity, specificity and time complexity of retinal images in DRIVE are 94.27%, 97.01%, 66.20% and 1.63 s and for the STARE database, they are 93.41%, 95.54%, 66.55% and 2.13 s respectively. The proposed algorithm is simple and very fast. It achieved satisfactory mean segmentation accuracy with very low time complexity.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135840339","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 : 2023-01-01DOI: 10.1504/ijsise.2023.133653
B. Jaya Lakshmi, R. Ramana Reddy, Naresh K. Darimireddy
{"title":"Design of high speed and low power multiplier using dual-mode square adder","authors":"B. Jaya Lakshmi, R. Ramana Reddy, Naresh K. Darimireddy","doi":"10.1504/ijsise.2023.133653","DOIUrl":"https://doi.org/10.1504/ijsise.2023.133653","url":null,"abstract":"","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135840554","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 : 2023-01-01DOI: 10.1504/ijsise.2023.133658
Prathibha Varghese, G. Arockia Selva Saroja
Many metaheuristic algorithms have been developed with genuine inspiration from nature. Photoreceptors through certain ganglion cells of fovea towards the main cells of said visual cortex, every physical optical system is modelled in the form of cascading sub-filters. This idea has sparked research into the biological retina to better understand its information-processing capacities to copy the architecture to create mechanical visual sensors. Human fovea photoreceptor cones and rods have a hexagonal rather than a rectangular shape. In that context, we provide a 2-D interpolation lattice conversion approach for creating hexagonal meshes, which is guaranteed to maintain alignment with our visual system and has a straightforward implementation and calculation process. This approach delivers a simulated hexagonal image for visual verification without needing a hexagonal capture or display device.
{"title":"Computational simulation of human fovea","authors":"Prathibha Varghese, G. Arockia Selva Saroja","doi":"10.1504/ijsise.2023.133658","DOIUrl":"https://doi.org/10.1504/ijsise.2023.133658","url":null,"abstract":"Many metaheuristic algorithms have been developed with genuine inspiration from nature. Photoreceptors through certain ganglion cells of fovea towards the main cells of said visual cortex, every physical optical system is modelled in the form of cascading sub-filters. This idea has sparked research into the biological retina to better understand its information-processing capacities to copy the architecture to create mechanical visual sensors. Human fovea photoreceptor cones and rods have a hexagonal rather than a rectangular shape. In that context, we provide a 2-D interpolation lattice conversion approach for creating hexagonal meshes, which is guaranteed to maintain alignment with our visual system and has a straightforward implementation and calculation process. This approach delivers a simulated hexagonal image for visual verification without needing a hexagonal capture or display device.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"55 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135840098","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 : 2023-01-01DOI: 10.1504/ijsise.2023.133657
Nicholas Wells, Chung W. See
A rotation invariant image correlation algorithm is described which measures and locates the rotational error of individual spatial frequency components. This information may then be interpreted to track signal dependent signatures, analyse spatial frequencies with much higher bandwidths and form optimal matched and generalised correlation filters. The technique is based on image re-sampling and a non-uniform sampling interval that is adjusted depending on its distance from the origin of the polar map. A nearest-neighbour polar interpolated grid scheme, comparable to linear interpolation error, achieves accuracies of 0.1% of a degree. Preliminary measurements based on images containing natural and rigid structure are presented. The algorithm also has potential applications for data-driven image registration and deformation analysis with small variations.
{"title":"Image correlation, non-uniformly sampled rotation displacement measurement estimation","authors":"Nicholas Wells, Chung W. See","doi":"10.1504/ijsise.2023.133657","DOIUrl":"https://doi.org/10.1504/ijsise.2023.133657","url":null,"abstract":"A rotation invariant image correlation algorithm is described which measures and locates the rotational error of individual spatial frequency components. This information may then be interpreted to track signal dependent signatures, analyse spatial frequencies with much higher bandwidths and form optimal matched and generalised correlation filters. The technique is based on image re-sampling and a non-uniform sampling interval that is adjusted depending on its distance from the origin of the polar map. A nearest-neighbour polar interpolated grid scheme, comparable to linear interpolation error, achieves accuracies of 0.1% of a degree. Preliminary measurements based on images containing natural and rigid structure are presented. The algorithm also has potential applications for data-driven image registration and deformation analysis with small variations.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135841477","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 : 2023-01-01DOI: 10.1504/ijsise.2023.10059440
G. Arockia Selva Saroja, Prathibha Varghese
{"title":"Computational simulation of human fovea","authors":"G. Arockia Selva Saroja, Prathibha Varghese","doi":"10.1504/ijsise.2023.10059440","DOIUrl":"https://doi.org/10.1504/ijsise.2023.10059440","url":null,"abstract":"","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135838751","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 : 2023-01-01DOI: 10.1504/ijsise.2023.10059439
Chung W. See, Nicholas Wells
{"title":"Image correlation, non-uniformly sampled rotation displacement measurement estimation","authors":"Chung W. See, Nicholas Wells","doi":"10.1504/ijsise.2023.10059439","DOIUrl":"https://doi.org/10.1504/ijsise.2023.10059439","url":null,"abstract":"","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135838717","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 : 2023-01-01DOI: 10.1504/ijsise.2023.10059438
Shilpa Rani, Kamlesh Lakhwani, Sandeep Kumar
{"title":"Syntactic approach to reconstruct simple and complex medical images","authors":"Shilpa Rani, Kamlesh Lakhwani, Sandeep Kumar","doi":"10.1504/ijsise.2023.10059438","DOIUrl":"https://doi.org/10.1504/ijsise.2023.10059438","url":null,"abstract":"","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135838959","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 : 2023-01-01DOI: 10.1504/ijsise.2023.133654
Shilpa Rani, Kamlesh Lakhwani, Sandeep Kumar
{"title":"Syntactic approach to reconstruct simple and complex medical images","authors":"Shilpa Rani, Kamlesh Lakhwani, Sandeep Kumar","doi":"10.1504/ijsise.2023.133654","DOIUrl":"https://doi.org/10.1504/ijsise.2023.133654","url":null,"abstract":"","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135840315","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 : 2022-01-01DOI: 10.1504/ijsise.2022.10055616
A. Rahmoune, N. Rahmoune
{"title":"Segmentation and detection of the retinal vascular network using fast filtering","authors":"A. Rahmoune, N. Rahmoune","doi":"10.1504/ijsise.2022.10055616","DOIUrl":"https://doi.org/10.1504/ijsise.2022.10055616","url":null,"abstract":"","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731862","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 : 2021-09-17DOI: 10.1504/ijsise.2021.117832
G. S. Babu, B. S. Mahanand
In this paper, we present a novel approach for the computer aided detection of imaging biomarkers responsible for Alzheimer's disease (AD) from magnetic resonance imaging (MRI) using meta-cognitive...
{"title":"Computer aided detection of imaging biomarkers for Alzheimer's disease","authors":"G. S. Babu, B. S. Mahanand","doi":"10.1504/ijsise.2021.117832","DOIUrl":"https://doi.org/10.1504/ijsise.2021.117832","url":null,"abstract":"In this paper, we present a novel approach for the computer aided detection of imaging biomarkers responsible for Alzheimer's disease (AD) from magnetic resonance imaging (MRI) using meta-cognitive...","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49612540","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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