Image processing-based blood vessel diameter adaptive, pixel-level and visual quantitative characterization method
A quantitative characterization and image processing technology, applied in the field of blood vessel diameter self-adaptation, visual quantitative characterization, and pixel-level fields, it can solve the problems of blood vessel morphology damage, numerous parameter settings, and inability to visualize research, and achieve the effect of solving the problem of accuracy.
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[0036]In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0037] Such as figure 1 As shown, the self-adaptive, pixel-level, visual quantitative characterization method of the present invention based on image processing comprises the following steps:
[0038] (1) Binarize the blood vessel image to obtain a binary image BW.
[0039] (2) Invert the binary image to obtain a new binary image BW2.
[0040] (3) By performing distance transformation on the binary image BW2, the shortest distance from each pixel in the blood vessel to the background and the distance transformed image DT are obtained.
[0041] (4) Take the maximum distance value in the distance transformed image DT as the initial window size armd1 for calculation.
[0042] (5) Carry out adaptive distance transmission for each pixel point on the blood ve...
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