A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
A new method for image segmentation
Computer Vision, Graphics, and Image Processing
Performance study of several global thresholding techniques for segmentation
Computer Vision, Graphics, and Image Processing
Adaptive thresholding by variational method
IEEE Transactions on Image Processing
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
A shape-based segmentation algorithm for X-ray digital subtraction angiography images
Computer Methods and Programs in Biomedicine
Neuro semantic thresholding using OCR software for high precision OCR applications
Image and Vision Computing
Fast segmentation of bone in CT images using 3D adaptive thresholding
Computers in Biology and Medicine
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Vessel segmentation is the base of three dimensional reconstruction on digital subtraction angiography (DSA) images. In this paper we propose two simple but efficient methods of vessel segmentation for DSA images. The original DSA image is divided into several appropriate subimages according to a prior knowledge of the diameter of vessels. We introduce the vessels existence measure to determine whether each subimage contains vessels and then choose an optimal threshold, respectively, for every subimage previously determined to contain vessels. Finally, an overall binarization of the original image is achieved by combining the thresholded subimages. Experiments are implemented on cerebral and hepatic DSA images. The results demonstrate that our proposed methods yield better binary results than global thresholding methods and some other local thresholding methods do.