Generalized hough transform using regions with homogeneous color

Chun Pong Chau, Wan Chi Siu

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


A novel generalized Hough transform algorithm which makes use of the color similarity between homogeneous segments as the voting criterion is proposed in this paper. The input of the algorithm is some regions with homogeneous color. These regions are obtained by first pre-segmenting the image using the morphological watershed algorithm and then refining the resultant outputs by a region merging algorithm. Region pairs belonging to the object are selected to generate entries of the reference table for the Hough transform. Every R-table entry stores a relative color between the selected region pairs. This is done in order to compute the color similarity and in turn generate votes during the voting process and some relevant information to recover the transformation parameters of the object. Based on the experimental results, our algorithm is robust to change of illumination, occlusion and distortion of the segmentation output. It recognizes objects which were translated, rotated, scaled and even located in a complex environment.

Original languageEnglish
Pages (from-to)183-199
Number of pages17
JournalInternational Journal of Computer Vision
Issue number2
Publication statusPublished - Sep 2004


Dive into the research topics of 'Generalized hough transform using regions with homogeneous color'. Together they form a unique fingerprint.

Cite this