New approach to object recognition in textured images

Jia You, H. A. Cohen, E. Pissaloux

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)


This paper describes an approach to object recognition in textured images. The method is based on image matching via distance transform. The proposed matching scheme is an extension and combination of the conventional methods in image processing. Interesting points are detected to replace edge pixels as image feature pixels in distance transform for the matching measurement. A mask based stochastic method is introduced to extract texture features. The detection of interesting points for matching is then performed on such a texture feature image named texture energy image. A dynamic thresholding procedure is further applied to guide the matching. Our experimental results demonstrate that the combination of texture feature extraction and interesting points detection provides a better solution to the search of the best matching between two textured images. In addition, such an algorithm is simple to implement and quite insensitive to noise and other disturbances.
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Number of pages4
Publication statusPublished - 1 Jan 1996
Externally publishedYes
EventProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) - Washington, DC, United States
Duration: 23 Oct 199526 Oct 1995


ConferenceProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3)
Country/TerritoryUnited States
CityWashington, DC

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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