Performance Comparison of Cosine, Haar, Walsh-hadamard, Fourier and Wavelet Transform for Shape based Image Retrieval Using Fuzzy Similarity Measure

Shape is one of the most important features in Content Based Image Retrieval (CBIR). When a shape is used as feature, edge detection might be the first step of feature extraction. Invariance to the different transformations like translation, rotation, and scale is required by a good shape representation. In this paper a performance comparison is done on various image transforms like Wavelet transform, Fourier transform, Haar transform, Walsh-Hadamard transform and discrete cosine transform using a fuzzy similarity measure. It is seen that according to retrieval performance Wavelet transform gives the best result among the other mentioned transforms. It has higher recall and precision values and higher crossover point.