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Medical image processing method based on corner detection

A medical image and processing method technology, applied in the field of image processing, can solve the problems of increasing computational complexity, low practicability, and time-consuming

Active Publication Date: 2018-11-16
HARBIN ENG UNIV
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  • Description
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Problems solved by technology

The first method relies too much on image segmentation and extraction. Not all areas of medical images are of research value. Segmenting the whole often takes a lot of time and greatly increases the computational complexity.
Due to low practicality, no specific introduction will be given here

Method used

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  • Medical image processing method based on corner detection
  • Medical image processing method based on corner detection
  • Medical image processing method based on corner detection

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Embodiment Construction

[0046] The following examples describe the present invention in more detail.

[0047] A medical image data clustering processing algorithm based on corner detection, which is realized through the following steps, and through figure 2 The block diagram of the flow chart shows it intuitively:

[0048] Step 1: Select the medical image to be processed, determine whether it is a grayscale image, convert it into a grayscale image, and perform preprocessing such as binarization and noise reduction;

[0049] Step 2: The preprocessed image enters the stage of extracting Harris corners. First, calculate the integral scale and differential scale of each pixel, calculate its differential mask, and obtain the pixel autocorrelation matrix of the image on multiple scales, then set a neighborhood range, and query the extremum in the neighborhood. And set a neighborhood extremum threshold to find points higher than the neighborhood extremum threshold;

[0050] Step 3: After obtaining the f...

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Abstract

The invention provides a medical image processing method based on corner detection, comprising: 1, preprocessing the medical image; 2, extracting the Harris corner; 3, calculating the scale normalization operator, detecting whether each point reaches the maximum at a certain scale response value, and obtaining the extracted corner matrix; 4, drawing the obtained points in the image after obtainingthe corner matrix of the image, and passing the corner matrix is to the clustering algorithm for clustering; and 5, giving a K value, performing clustering according to the Kmeans algorithm, using the similarity matrix as a discrimination function, and performing no more merging if the similarity is lower than the class of the threshold. The invention has superiority and great applicability in terms of effect and processing efficiency, or in practical application.

Description

technical field [0001] The present invention relates to an image processing method, in particular to a medical image processing method. Background technique [0002] With the rapid development of social economy and various technologies, people are paying more and more attention to their own health while enjoying the convenience brought by the significant improvement in the quality of life, because doctors observe and analyze medical images, The image analysis results are used as an important basis for disease diagnosis and treatment, so the processing of medical images is very important in the diagnosis and treatment process. With the continuous progress and development of medical technology, the information-based medical image processing system supported by computer technology has been widely used in clinical research because of its remarkable features such as practicality, simplicity, and high efficiency, and has great significance for the emerging remote medical technolog...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62
CPCG06T7/0012G06T2207/20164G06F18/23213
Inventor 杨悦马潇阳刘卓杨静张健沛王勇初妍王巧红
Owner HARBIN ENG UNIV
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