Medical image segmentation method based on two-dimensional maximum entropy threshold C-V model
A two-dimensional maximum entropy, medical image technology, applied in image analysis, image data processing, instruments, etc., can solve problems affecting the evolution speed of curves, improve image segmentation speed, clear texture, solve noise processing problems and initial position The effect of the problem affecting the speed of curve evolution
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[0029] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only an embodiment of a region of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0030] The purpose of the present invention is to provide a medical image segmentation method based on the two-dimensional maximum entropy threshold C-V model, which can effectively solve the noise processing problem and the initial position influence curve evolution speed problem, and minimize the Energy functional, which improves the speed of image segmentation.
[0031] In order to make the above objects, features and advantages of...
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