Object Recognizing on Sonar Image Based on Histogram and Geometric Feature

Object recognizing technology is introduced based on the histogram and geometric features in this paper. Geometric features include the length, the width, the height of object, etc. They have great relation with the class attribute of object. The physical character is also reflected by the histogram of object. After the object and its shadow have been segmented based on the MRF theory, their histogram curves are extracted from combined zones of the object and shadow. Then the correlative coefficients are calculated from histogram curves. The object can be clustered through the coefficients. And then, the sought object is can be recognized according to geometric features. Finally, the real data verify the algorithm. It shown that the algorithm is robust, can rapidly locate the object, and can automatic all recognize the object.