In this paper, we describe the of automated analysis of digital hand radiograph. Rheumatoid Arthritis causes severe damage to the joints of the body. Generally the first sign of disease is seen in the joints of the hands and feet. In this paper we present how image processing technique is applied to find out joint space width. We focused our efforts on hand radiograph segmentation since for the radiologist it is difficult task to find the actual boundary and estimate the joint space width measurements. The measurement accuracy depends on accuracy of hand radiograph segmentation. The digital hand radiograph images are preprocessed using Gaussian filter and then segmentation is done by edge based approach and binarization technique. Morphological thinning is applied on binarized image. From original image and thinned image joint Space width is estimated.

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Rheumatoid Arthritis Osteoarthritis Image Segmentation Joint Space Width