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Double threshold blood vessel image processing method based on random direction histogram ratio

A technology of direction histogram and blood vessel image, applied in the field of double-threshold blood vessel image processing, can solve problems such as blood vessel error removal, and achieve the effect of noise removal, strong denoising ability and fast calculation speed

Inactive Publication Date: 2015-06-24
XI AN JIAOTONG UNIV
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Problems solved by technology

It can be seen from the results that the cloud-like noise is eliminated, but at the same time a large number of blood vessels are also removed by mistake

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  • Double threshold blood vessel image processing method based on random direction histogram ratio
  • Double threshold blood vessel image processing method based on random direction histogram ratio
  • Double threshold blood vessel image processing method based on random direction histogram ratio

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Embodiment Construction

[0041] The present invention will be further described in detail below in conjunction with specific embodiments, which are explanations of the present invention rather than limitations.

[0042] In order to solve the problem of removing noise pollution in blood vessel images, the present invention is based on the characteristics of the geometric distribution of blood vessels, that is, the distribution of blood vessel pixels in a certain direction is dominant, and proposes a method for detecting the image properties of sub-windows of blood vessel images based on random probes The index, that is, the direction histogram ratio, according to the value of the direction histogram ratio, can identify the noise pollution area and the blood vessel area in the blood vessel image, and use a high threshold for thresholding the noise pollution area, so that the noise pixels can be eliminated as much as possible. For the blood vessel area, a low threshold is used for thresholding processing,...

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Abstract

The invention discloses a double threshold blood vessel image processing method based on a random direction histogram ratio, and belongs to the technical field of image processing. According to the method, a random probe detects the index, namely the direction histogram ratio, of an image property in a blood vessel image subwindow, the noise pollution area and the blood vessel area in a blood vessel image can be identified according to the value of the direction histogram ratio, thresholding processing is carried out on the noise pollution area with a high threshold value, and therefore noise pixels can be eliminated as much as possible; thresholding processing is carried out on the blood vessel area with a small threshold value, and therefore blood vessel pixels can be retained as much as possible, wherein the high threshold value and the low threshold value are obtained through a three-level Otsu algorithm. According to the blood vessel detection result obtained through the method, noise in the blood vessel image can be effectively removed.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a blood vessel image processing method based on a random direction histogram ratio with double thresholds. Background technique [0002] In order to be able to understand complex vascular image data, many existing studies have proposed various morphological methods to quantify blood vessels, including vessel length distribution, vessel half / diameter distribution, vessel orientation, vessel area or spatial density, and vessel branch nodes. Density, vascular branch angle, vascular endpoint density and fractal dimension, etc. Clearly, the accuracy of these metrics is heavily dependent on the image's vessel detection output. However, angiographic image data are often contaminated with noise in some regions due to background coloring, vessel leaks, or the presence of fluorescent dyes that permeate through vessel walls into surrounding tissues. In this case, it i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 吕娜李腾飞尹涛潘锦锦
Owner XI AN JIAOTONG UNIV
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