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

页码：753 / 756

页数：4

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