CT Angiography Image Segmentation by Mean Shift Algorithm and Contour with Connected Components Image
Ali Al-Fayadh, Hind Rostom Mohamed · 2012
In the present paper, Mean Shift Algorithm and active contour to detect objects for CT Angiography Image Segmentation is proposed.Based on the results we believe that this method of boundary detection together with the mean-shift can achieve fast and robust tracking of the CT Angiography Image Segmentation in noisy environment. The proposed scheme has been tested successfully on a large set of images. The performance of the proposed detector compares favorably both computationally and qualitatively, in comparison wit h Mean Shift and contour detector which are also based on surround influence .The last stage is stage contain Extraction of c onnected components CT Angiography image edge detection . The proposed scheme can serve as a low cost preprocessing step for high lev el tasks such shape based recognition and image retrieval. The experimental results confirm the effectiveness of the proposed algorithm.