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Application of Fractal Codes as Similarity Measure for Compressed Image Databases

In image database applications, it is desirable that functions such as searching, browsing, and partial recall be done without totally decompressing the images. Using wavelet-compressed images is becoming increasingly popular. Image databases, and edge images derived from such compressed images can be viewed as indexes that can be queried by examples. In this research, a fractional code generated by a neural fractal memory [1] with four neurons was used as a distance-measure for the index edge image, and the query sketch image. This distance measure was compared with the central and Zernik moments being used by other researcher [2].