PROGRESSIVE EDGE DETECTION ON MULTI-BIT IMAGES USING POLYNOMIAL-BASED BINARIZATION
Edge Detection is an important image processing operation with applications such as 3D reconstruction, recognition, image enhancement, image restoration and compression. Several edge detectors have been developed in the past decades although no single edge detector is best suited for all applications . This paper presents a new concept in edge detection that is better suited for application-specific image processing. The gray scale or multi-bit image is mapped to a set of several binary images. This is followed by the application of edge detection algorithms on those binary images and a fusion of the individual edge maps. A novel polynomial based binarizalion method is also presented. An evolutionary approach to the fusion of edgemaps renders the algorithm adaptive. Experimental results have shown that this new concept lias several advantages. It produces edges of better quality; it can be used in a progressive manner to save on computations and increase usability. Further, it can be used lo lake advantage of multiple popular edge defection algorithms.
Edge Detector binarization threshold progressive edge detection image quality
BARGHAVI GOVINDARAJAN KAREN PANETTA SOS AGAIAN
Department of Electrical and Computer Engineering, Tufts University, Medford, MA 02155, USA BA Logix Department of Electrical and Computer Engineering, University of Texas at San Antonio, TX 78249, USA
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
3714-3719
2008-07-12(万方平台首次上网日期,不代表论文的发表时间)