Performance Comparison Of Enhanced Region Growing Segmentation Algorithm Based CT Scan Image Compression Using Discrete Wavelet Families

In this paper proposes an efficient region of interest (ROI) technique and Discrete wavelet Transform (DWT), which is based on attempting to preserve the important image characteristics and to achieve good compression ratio. In medical images only a small portion of an image is used to diagnose. That spatial region is segregated to the end users by using “Region Of Interest” (ROI). Improvement of compression is achieved by using enhanced “Region Growing” algorithm. DWT is applied to each region on the segmented image. This new method reduces the importance of background coefficients in the ROI block. Extensive experimental results shows that the proposed method gives better quality of CT images when applying Haar wavelet than Daubechies 3, Symlet 2, Biorthogonal 1.5 wavelets. The performance of the system has been evaluated based on bits per pixel (bpp), peak signal to noise ratio (PSNR) and mean square error (MSE).