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Angiography image sharpening method based on extended phase stretching transformation

An angiography and image sharpening technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of loss and blurring of small blood vessels, and achieve the effect of suppressing noise and enhancing the sharpening effect

Pending Publication Date: 2019-08-13
PINGDINGSHAN UNIVERSITY
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Problems solved by technology

[0003] At present, there are many background noises around the blood vessels in the sharpened cardio-cerebral angiography image in the traditional blood vessel sharpening and enhancement method, and a large number of small blood vessels become blurred or even lost.

Method used

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  • Angiography image sharpening method based on extended phase stretching transformation
  • Angiography image sharpening method based on extended phase stretching transformation
  • Angiography image sharpening method based on extended phase stretching transformation

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Embodiment 1

[0032] Embodiment 1: a kind of angiographic image sharpening method based on extended phase stretching transformation, the method comprises the following steps:

[0033] 1) The input image is processed in gray scale;

[0034] 2) Carry out low-pass filter processing to the image;

[0035] 3) EPST (Extended Phase Stretch Transform) is performed on the image;

[0036] 4) Acquire the angle image for thresholding and morphological processing to realize edge detection;

[0037] 5) RTV processing;

[0038] 6) Output the image after image fusion.

[0039] In the step 1), the image is entered through a U disk, network transmission or scanner, and then the weighted average of the R, G, and B components of the image is weighted and averaged with different weights to obtain a grayscale image through the weighted average method in the RGB model , so without compromising the main information of the outline light, it can greatly facilitate the later image processing and calculation.

[...

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Abstract

The invention discloses an angiography image sharpening method based on extended phase stretching transformation, and the method comprises the following steps: carrying out the preprocessing of an input image, carrying out the extended phase stretching transformation of an image, carrying out the thresholding and morphological processing of an obtained angle image, carrying out the edge detectionof relative total variation through combining with an RTV, and outputting a fusion image. The algorithm is mainly characterized in that firstly, a new extended phase stretching kernel function is provided, and the performance of the extended phase stretching kernel function is obviously superior to that of a traditional arc tangent S-type kernel function; and secondly, an edge detection strategy combining extended phase stretching transformation and total variation is designed. By adoption of the method, more abundant small-scale microvascular characteristics can be detected and enhanced. Cluttered background noise is inhibited, the noise is more robust. The extracted angiography edge characteristic image is fused with an original image to obtain a very good angiography image enhancement sharpening effect.

Description

technical field [0001] The invention relates to the technical field of image graphics processing, in particular to an angiographic image sharpening method based on extended phase stretching transformation. Background technique [0002] Medical imaging refers to the technology and processing process of obtaining internal tissue images of the human body or a certain part of the human body in a non-invasive manner for medical treatment or medical research. It includes the following two relatively independent research directions: medical imaging system and medical image processing. The former refers to the process of image formation, including the research on imaging mechanism, imaging equipment, imaging system analysis and other issues; the latter refers to the further processing of the obtained image, the purpose of which is to make the original image that is not clear enough Restoration, or to highlight certain feature information in the image, or to classify the image, etc....

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T3/00G06T7/13
CPCG06T7/13G06T2207/20036G06T2207/20221G06T2207/30101G06T3/18G06T5/90G06T5/73G06T5/70
Inventor 徐鹏飞周志青喻恒时合生王启明丁亚飞王德永耿则勋
Owner PINGDINGSHAN UNIVERSITY
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