Modified Hough transform for images containing many textured regions

Yun Seok Lee, Seung Hun Yoo, Chang Sung Jeong

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish
    Title of host publicationRough Sets and Current Trends in Computing - 5th International Conference, RSCTC 2006, Proceedings
    PublisherSpringer Verlag
    Pages824-833
    Number of pages10
    ISBN (Print)3540476938, 9783540476931
    DOIs
    Publication statusPublished - 2006
    Event5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006 - Kobe, Japan
    Duration: 2006 Nov 62006 Nov 8

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4259 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006
    Country/TerritoryJapan
    CityKobe
    Period06/11/606/11/8

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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