This study discusses the merits and demerits of four methods of defect segmentation of citrus fruit images viz. segmentation using iterative intensity enhancement, segmentation using reference imaging, segmentation using contrast stretching and segmentation using color RGB vectors. About 20 mandarin fruits having three different external defects viz. pitting, splitting and stem end rot were procured for this study. A Pulnix 6700-CL color CCD camera was used for image acquisition. The acquired images were preprocessed before being segmented. The preprocessed images were segmented using the four methods and the results are discussed.