Similarity evaluation in image retrieval using the Hough transform
暂无分享,去创建一个
This work investigates the use of orientation features, computed using the Hough transform, as a criterion for image similarity evaluation in content based picture retrieval. The context of this work is the management of thematic catalogues, in which coherence in the meaning of the image contents can be relied upon to a certain degree. The vector space model, a well-assessed technique in textual information retrieval, is utilized for the retrieval model.
[1] Hon Fung Li,et al. Shapes Recognition Using the Straight Line Hough Transform: Theory and Generalization , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[2] Tomaso A. Poggio,et al. On Edge Detection , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Christos Faloutsos,et al. QBIC project: querying images by content, using color, texture, and shape , 1993, Electronic Imaging.
[4] Gerald Salton,et al. Automatic text processing , 1988 .