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  • × author_ss:"Lee, W.F."
  • × year_i:[1990 TO 2000}
  1. Mehtre, B.M.; Kankanhalli, M.S.; Lee, W.F.: Content-based image retrieval using a composite color-shape approach (1998) 0.04 
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    Abstract
    We have proposed a composite feature measure which combines the shape and color features of an image based on a clustering technique. We have also developed a similarity measure to compute the degree of match between a given pair of images. This technique can be used for content-based image retrieval of images using shape and/or color. We have tested our technique on 2 image databases: one consisting of 100 synthetic images, and another database consisting of 500 actual trademarks images. Test results of the proposed scheme for retrieval of images using only shape, only color, and a weighted combination of the two are presented. The efficiency of retrieval is found to be very high and the experimental results are promising for practical applications
  2. Mehtre, B.M.; Kankanhalli, M.S.; Lee, W.F.: Shape measures for content based image retrieval : a comparison (1997) 0.04 
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    Abstract
    Discusses effectiveness of several shape measures for content based similarity retrieval of images in multimedia and image database systems. Describes the different shape measures implemented. Given an image all these shape feature measures are computed automatically, and the feature vector can either be used for the retrieval purpose or can be stored in the database for future queries. Tests all thes shape features for image retrieval on a database of 500 trademark images. The average retrieval efficiency values computed over a set of 15 representative queries for all the methods is presented. The output of a sample shape similarity query using all the features is also shown

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