{"title":"用于图像处理的脉冲耦合神经网络","authors":"H. Ranganath, G. Kuntimad, J.L. Johnson","doi":"10.1109/SECON.1995.513053","DOIUrl":null,"url":null,"abstract":"Studies of cat's and monkey's visual cortex has led to the development of pulse coupled neurons which are significantly different from the conventional artificial neurons. Pulse coupled neural networks (PCNN) are modeled to capture the essence of recent understanding of image interpretation process in biological neural systems. It is shown that pulse coupled neural networks are capable of image smoothing, image segmentation and feature extraction.","PeriodicalId":334874,"journal":{"name":"Proceedings IEEE Southeastcon '95. Visualize the Future","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"136","resultStr":"{\"title\":\"Pulse coupled neural networks for image processing\",\"authors\":\"H. Ranganath, G. Kuntimad, J.L. Johnson\",\"doi\":\"10.1109/SECON.1995.513053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Studies of cat's and monkey's visual cortex has led to the development of pulse coupled neurons which are significantly different from the conventional artificial neurons. Pulse coupled neural networks (PCNN) are modeled to capture the essence of recent understanding of image interpretation process in biological neural systems. It is shown that pulse coupled neural networks are capable of image smoothing, image segmentation and feature extraction.\",\"PeriodicalId\":334874,\"journal\":{\"name\":\"Proceedings IEEE Southeastcon '95. Visualize the Future\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"136\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE Southeastcon '95. Visualize the Future\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SECON.1995.513053\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE Southeastcon '95. Visualize the Future","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.1995.513053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pulse coupled neural networks for image processing
Studies of cat's and monkey's visual cortex has led to the development of pulse coupled neurons which are significantly different from the conventional artificial neurons. Pulse coupled neural networks (PCNN) are modeled to capture the essence of recent understanding of image interpretation process in biological neural systems. It is shown that pulse coupled neural networks are capable of image smoothing, image segmentation and feature extraction.