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Appendicitis is a most common abdominal condition that necessitates emergency surgery. Sonographic images become very handy in diagnosing the condition of the appendicitis in a patient. Sonographic image mining technique is a dynamic, noninvasive, rapid and inexpensive technique. This research work proposes a new methodology based on image mining for diagnosing appendicitis by considering sonographic images as input. For case study, a reputed hospital in India has been considered and 12 patients of that hospital are observed over a period of four months. The sonographic images of these patients are used as input for the study and analysis. The results obtained out of the proposed method based on sonographic images are compared with the real results, results obtained through euclidean distance methods and geodesic distance. This paper describes a brief literature on tests for appendicitis, proposed algorithm, the experimental method and results of sonographic image mining.