Hybrid Method for Medical Image Sgmentation in Wavelet Domain

In this research, a hybrid medical image segmentation in both spatial and frequency domain is proposed. It is aimed to detect tumor and find the accuracy detection in both spatial and frequency domain. An important algorithm is added to our research which is finding the biggest contour algorithm. This algorithm used to detect tumor region in digital image that differ in properties and provide complementary information about regions, which is not obtained from hybrid image segmentation. This filter is used to remove smaller objects (noise) and extracting only the biggest objects. Finally the average time is found in both spatial and frequency domain. Test results show that for the five set of the image samples, when the contour algorithm is used in both spatial and frequency domain the accuracy is getting better compared with the results obtained without using contour algorithm.