標題: Colour image detection and matching using modified generalised Hough transform
作者: Lo, RC
Tsai, WH
資訊工程學系
Department of Computer Science
關鍵字: colour-image matching;Hough transform;normalised colour values;feature vectors
公開日期: 1-八月-1996
摘要: A new approach to 2-dimensional (2D) colour-image detection and matching using a modified version of the generalised Hough transform (GHT) is proposed. In the conventional GHT. the useful colour information existing in the input image and the relationship between each pixel and its neighbourhood are not used. Furthermore, lighting changes in the image are not usually considered. Therefore, the conventional GHT is seldom applied to colour images. In the proposed approach, lighting changes are removed using normalised colour values, Next, certain critical pixels of an input colour image whose neighbourhoods have larger variances of normalised colour values are extracted. For each critical pixel, a feature vector, which includes the normalised colour values of the pixel as well as those of the pixel's neighbours, is then constructed. A modified voting rule for the GHT is therefore proposed which is based on a similarity-measure function of the feature vectors. High maximum peaks in the cell array are searched finally as the result. The proposed method is robust for colour-image detection and matching in noisy, occlusive, and lighting-change environments, as demonstrated by experimental results.
URI: http://hdl.handle.net/11536/1141
ISSN: 1350-245X
期刊: IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING
Volume: 143
Issue: 4
起始頁: 201
結束頁: 209
顯示於類別:期刊論文


文件中的檔案:

  1. A1996VN14000001.pdf