%0 Journal Article
%T A Multi-scale Color Vector Morphological Edge Detection<br>基于多尺度彩色形态矢量算子的边缘检测
%A LIU Zhi-fang
%A YOU Zhi-sheng
%A CAO Gang
%A XU Xin
%A <br>刘直芳
%A 游志胜
%A 曹刚
%A 徐欣
%J 中国图象图形学报
%D 2002
%I 
%X Mathematical morphology in its original form is a set-theoretical approach to image analysis. It studies image transformations with a simple geometrical interpretation and their algebraic decomposition and synthesis in terms of elementary set operations. Mathematical Morphology has been applied in many fields, at the beginning, it is only applied in binary images called binary-scale morphology, and then it has been developed to gray-level images called gray-scalemorphology, but there are few researches in color image. In this paper we present a new color vector morphological edge detection methods using a multi-scale approach for detection edge under noisy condition. The goal of edge detection is to detect and localize edge points even under noise condition. Not all edges with various fineness regarding spectral contrast and spatial geometry can be detected by a single operator. In fact, some details that seem to be freak and noisy in one scale may become relevant in other scale. Hence, edges of different fineness are detected using operator at different scale, and then they are judiciously combined to produce all the edges of interest in an image. The experiment has proved this proposed method can detect detail edges in color image. Its superiority has been revealed by comparing with the traditional edge detection methods such as LOG. The experimental results have shown this method is robust to noise.
%K Multi-scale
%K Color vector morphological
%K Edge detection
%K Binary-scale morphological
%K Gray-scale morphology<br>多尺度彩色形态矢量算子
%K 边缘检测
%K 二值形态
%K 灰度形态
%K 数学形态学
%K 计算机视觉
%K 图象处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=D23296FA218FF64D&yid=C3ACC247184A22C1&vid=DF92D298D3FF1E6E&iid=9CF7A0430CBB2DFD&sid=68BCD01D0D745EB3&eid=3DC9CEF02B8360EE&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=17&reference_num=9