Image Gradient Detection with Hough Transform

被引：1
|
作者：
Lee, Seung-Joon [1 ]
Ahn, Hyochang [1 ]
Cho, Han-Jin [2 ]
Lee, Jun-Hwan [2 ]
Rhee, Sang-Burm [1 ]
机构：
[1] Dankook Univ, Dept Elect & Comp Engn, Jukjeon, Yongin, South Korea
[2] Far East Univ, Sch Comp Sci Informat & Standar, Eumseong, Chungcheongbuk, South Korea
来源：
ICHIT 2008: INTERNATIONAL CONFERENCE ON CONVERGENCE AND HYBRID INFORMATION TECHNOLOGY, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICHIT.2008.224
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose gradient detection system of the vertical straight line using the Hough Transform after extracting from the color images. The input color images can be used to a method for detecting a gradient from only the luminance component of an image. In edge detection, traditional method of the mask of vertical edge detection can detect with the one-direction of the image change but proposed method can detect bi-direction. Since the Hough Transform is required much time for processing, our method can be improved processing time through experimentally calculating valid pixel.
引用
收藏
页码：753 / 756
页数：4
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