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This paper deals with fracture detection of a human bone from X-ray images applying image processing techniques. It describes the wavelet transform based segmentation and neural network-based classification method for medical images, especially X-ray images, to locate or detect any fracture in the bones. Among different image segmentation techniques, using Wavelet Transform based segmentation manifests particular significance compared to other conventional segmentation techniques for the images considered in this study. Also in terms of statistical image identifier, namely Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR), Structural similarity (SSIM), and Entropy etc. The proposed methods have observable advantages, particularly in medical image segmentation. The Haar Wavelet showed maximum correlation with the considered images. The detailed vertical, horizontal and diagonal …