Skeletal Bone Age Analysis Using Emroi Technique

Bones are calcified connective tissue forming the major portion of the skeleton of most vertebrates. There are about 206 bones in our body and contains more calcium. Bones begin to develop before birth. From the moment of birth until the time one has grown up, bones go through a set a characteristic changes. Therefore the skeletal maturity, or bone age, can be estimated from radiographs of specific bones in the human body. Children who grow exceptionally slow or fast are often examined by making a radiograph of their left hand and wrist. The aim of this work is to develop a system for skeletal bone age estimation using region of extraction. By analyzing left hand x-ray image, the feature extracted are CROI(Carpal ROI), EMROI (Ephiphysial/Metaphysial ROI),using discrete wavelet transformation, ISEF edge detector, energy based segmentation, Jacobi method, cell full and vertex full method. Extracted features are classified using k-mean classifier. Results obtained on a sample of 24 X-rays are discussed. The systems were studied and their performances were compared by various other methods.