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A breast tumor detection system and method based on fusion of ltp and hog features

A breast tumor and feature fusion technology, applied in the field of breast tumor detection systems, can solve the problems of low detection efficiency, cumbersome calculation, complex parameter setting, etc.

Active Publication Date: 2021-03-30
YANSHAN UNIV
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Problems solved by technology

[0005] However, in the process of feature fusion, it is not only necessary to normalize different feature vectors, but also to normalize each component of each feature vector. Although the accuracy is high, the calculation is cumbersome and the parameter setting is complicated. Detection efficiency is low

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  • A breast tumor detection system and method based on fusion of ltp and hog features
  • A breast tumor detection system and method based on fusion of ltp and hog features
  • A breast tumor detection system and method based on fusion of ltp and hog features

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Embodiment Construction

[0091] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. 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.

[0092] The purpose of the present invention is to provide a breast tumor detection system and method with LTP and HOG feature fusion, which can improve detection efficiency while ensuring detection accuracy.

[0093] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[00...

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Abstract

The invention discloses a breast tumor detection system and method integrating LTP and HOG features. The detection method includes: acquiring collected breast tumor images, establishing an image training sample library; Discrete Haar wavelet transform to obtain 4 sample sub-images; extract HOG features from low-frequency sub-images in the sample sub-images; extract LTP features from horizontal sub-images, vertical sub-images and diagonal sub-images ; normalize the extracted features to form HOG-LTP features; establish an SVM model; take the sample images as input, and HOG-LTP features as expected output to perform sample training on the SVM model; calculate the breast to be detected. HOG-LTP features of tumor images; input the calculated HOG-LTP features into the trained SVM model to detect the output breast tumor images. The invention can improve the detection efficiency while ensuring the detection accuracy.

Description

technical field [0001] The invention relates to the technical fields of computer vision and medical image processing, in particular to a breast tumor detection system and method based on fusion of LTP and HOG features. Background technique [0002] Breast tumors are one of the most common malignant tumors in women, so the detection and diagnosis of breast tumors is one of the problems to be solved urgently. [0003] At present, the identification of benign and malignant breast tumors mainly depends on the processing of ultrasound images, and the most typical features in ultrasound images of breast tumors need to be extracted for detection by a computer-aided diagnosis system. In the current clinical application, the main standard for diagnosing benign or malignant breast tumors is the Stavros standard. According to this standard, breast ultrasound image tumor features are divided into two categories. One category is five features measured by conventional ultrasound imaging d...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/462G06V2201/032G06F18/2411G06F18/253
Inventor 陈华杨帆刘刚
Owner YANSHAN UNIV
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