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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Modified Hough Transform for Images Containing Many Textured Regions
verfasst von : Yun-Seok Lee, Seung-Hun Yoo, Chang-Sung Jeong
Erschienen in: Rough Sets and Current Trends in Computing
Verlag: Springer Berlin Heidelberg
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Images which have a lot of textured regions make the result of Hough transform (HT) very poor. This paper presents an improved HT that deals with such a textured image by diminishing the effect of noise edges and using weighted voting score. The method first eliminates the noise edges resulted from textured regions; then, the method casts votes for edges upon the accumulator array with weight score in accordance with the number of sequential votes. Our modified HT is efficient in that it produces important lines first such as verge of building, avoiding improper lines taken from the noise edges.