Abstract: “The Gabor filter is applied using discrete wavelet transform for edge detection and contour tracing on true color images, whose wavelet functions provide the high resolution in both spatial and frequency domains. The number of wavelets also affects the quality of edge detection. To generate more accurate outcomes, integration of adaptive contrast stretching and Gabor wavelet transform is properly carried out for edge detection and contour tracing on broadly selected images. Contrast stretching is based on adaptive histogram equalization generalization, where the accumulation function is used to generate intensity mapping of three primary color components stem from local histograms. Any digital image consists of major objects, edges, corners and blobs as well as the noises and background fluorescence. Critical changes in image properties can be captured via detecting sharp variations in the intensity. Although the gray level intensity is commonly used for edge detection, the mixture of”

Keywords: Gabor Wavelet Transform, Adaptive Contrast Stretching, Canny Edge Detection, Quantitative Analysis