Segmentation is a technique to break the image into parts. But to get better segmentation there is a condition that image must be free from noise. To get image free from noise denoising model is used which remove the noise by producing the required pixel and also correct the incorrect pixel. Here image taken is an X-ray image, In this paper, the 3x3 matrix window is taken. In this window average of the pixel value is calculated. This algorithm rechecks the best fitness value of each pixel and makes appropriate changes. But due to Recovery, it needs some enhancement. So to get enhanced image enhancement technique is applied to enhance the image as an original image. Then the segmentation is applied to get a segmented image. The performance of the proposed model has been estimated under various experiments. The results are found improved for all of the dataset images on the basis of PSNR (peak signal to noise ratio) and SSIM (structural similarity) based parameters.