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적응 형태학적 WCNN 알고리즘을 이용한 컬러 영상 에지 검출 연구
백영현(Young-Hyun Back),신성(Simg Shin),문성룡(Sung-Ryong Moon) 한국지능시스템학회 2004 한국지능시스템학회 학술발표 논문집 Vol.14 No.1
The digital color image can be distorted by noise for a transmission or other elements of system. It happens to vague of a boundary side in the division of a color image object, especially. boundary side of an input color image is very important because it can be determined to the division and detection element in pattern recognition. Therefore it is boundary part. In this paper, it detects the optimal edge with applying this color image to WCNN algorithm, after it does level up a boundary side of a color image by using the adaptive morphology as the threshold of an input color image. Also, it is used not a conventional fixed mask edge detection method but variable mask method which is called a variable BBM. It is confirmed by simulation that the proposed algorithm can be got the batter result edge at the place of closing to each edges and having smoothly curved line.
적응적 형상학 웨이브렛-CNN을 이용한 영상에지 검출 연구
백영현,문성룡 원광대학교 공업기술개발연구소 2002 工業技術開發硏究誌 Vol.22 No.-
The image happens being vague of the object boundary Side in the object division of the digital image because it can be distorted by mixing with a noise for the transmission or other elements of system. So, it is proposed the edge detection method of optimal to detect and divide exactly the boundary part. In this paper, it detected the optimal edge applying this to wavelet-CNN, after it does level up the boundary side of the image by using the adaptive morphology as a threshold of the input image. It compared the conventional Sobel method which is the image edge detection algorithm, so it confirmed that the proposal algorithm is more superior than the conventional methods.