Morphology is one of the most active research areas in nonlinear image processing and has many applications. The basic reason for this is the good noise attenuation and edge preservation performance, quantitative description of geometrical structure while maintaining low computational complexity. Over the past twenty years, many efforts have been devoted in psychophysics and physiology to analyzes the response of the human visual system which can perfectly detect and recognize the image information. Because the human visual system is an excellent image processor, it is natural to find and use a gap between the human visual system and morphology. The goal of this article is to introduce a new concept,Visual Morphology, which shares many of the important characteristics of the human visual system and morphology. This technique has been employed on NASA's Earth Observing System satellite data for the purpose of anomaly detection and visualization. Also, it has shown the beneficial effect of applying SAR images. It helps to improve the detection of small targets. Both theoretical analysis and simulation results have shown that the proposed concept has a great future.
{"title":"Visual morphology","authors":"S. Agaian","doi":"10.1117/12.341081","DOIUrl":"https://doi.org/10.1117/12.341081","url":null,"abstract":"Morphology is one of the most active research areas in nonlinear image processing and has many applications. The basic reason for this is the good noise attenuation and edge preservation performance, quantitative description of geometrical structure while maintaining low computational complexity. Over the past twenty years, many efforts have been devoted in psychophysics and physiology to analyzes the response of the human visual system which can perfectly detect and recognize the image information. Because the human visual system is an excellent image processor, it is natural to find and use a gap between the human visual system and morphology. The goal of this article is to introduce a new concept,Visual Morphology, which shares many of the important characteristics of the human visual system and morphology. This technique has been employed on NASA's Earth Observing System satellite data for the purpose of anomaly detection and visualization. Also, it has shown the beneficial effect of applying SAR images. It helps to improve the detection of small targets. Both theoretical analysis and simulation results have shown that the proposed concept has a great future.","PeriodicalId":121438,"journal":{"name":"Electronic Imaging: Nonlinear Image Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129110287","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：