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Similarity-based breast image matching image searching method and system

A technology of image retrieval and similarity, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of missing tumor areas and inaccurate tumor locations, so as to reduce capacity storage, improve retrieval efficiency, and speed up speed effect

Inactive Publication Date: 2014-03-26
XIAN HWATECH MEDICAL INFORMATION TECH
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Problems solved by technology

However, since the current machine learning technology and target detection technology are not mature enough, especially the problem of "Semantic Gap" has not been fundamentally resolved, the existing methods of applying the above-mentioned technologies for automatic detection of breast tumor areas exist. Missing or inaccurate tumor location and other issues

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  • Similarity-based breast image matching image searching method and system
  • Similarity-based breast image matching image searching method and system
  • Similarity-based breast image matching image searching method and system

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Embodiment

[0084] The image database used in this embodiment is the breast image database of a hospital in Xi'an, which contains 2560 mammograms in total.

[0085]First, extract the SIFT feature blocks of each mammogram according to step 1, and extract the HOG features of each feature block. Follow step 2 to create a search database. In this embodiment, the number of child nodes generated by each node is K=3; the threshold depth=4 for the number of layers of the hierarchical clustering tree.

[0086] Secondly, for any input breast image to be retrieved, perform retrieval according to step 3 and step 4. Figure 8 A complete retrieval process is shown. in, Figure 8 (a) is an input image to be retrieved, Figure 8 (b) is all the SIFT feature blocks extracted using the SIFT algorithm in step 3, a total of 631. In this embodiment, the SIFT feature block conforming to the specified scale refers to a SIFT feature block not smaller than 32×32 pixels. Therefore, the SIFT feature block that...

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Abstract

The invention discloses a similarity-based breast image matching image searching method and system. The similarity-based breast image matching image searching method comprises the following steps: setting up an image characteristic base, setting up a layering cluster tree, extracting the characteristics of images to be searched, and looking for and outputting images similar to the images to be searched. The system comprises an image characteristic base setting-up module, a layering cluster tree setting-up module, a module for extracting the characteristics of the images to be searched and a similarity image searching module. The method and system can input images, to be searched, of breast X-ray films in real time into a searching database, and then analyze the input images, rank the images in the searching database according to the similarity between the images and the input images, and then output the images. The method and system are quick in searching speed and accurate in searching result.

Description

technical field [0001] The invention belongs to the technical field of digital image retrieval, and in particular relates to a matching image retrieval method and retrieval system of mammary gland images based on similarity. Background technique [0002] Breast disease is a disease that seriously endangers women's health. At present, breast cancer has accounted for about 30% of new malignant diseases in women, ranking first in the incidence of female malignant tumors. Mammography (Mammography) uses a special molybdenum-palladium X-ray machine to take pictures of the breast to form a mammogram. Currently, using mammography as the basic data for breast disease research has become the most common method in developed countries. . There are four common forms of lesions in breast cancer X-ray films: regular or quasi-circular masses, irregular or fuzzy masses, burr masses, and lucent ring masses. The target detection technology in the field of computer vision and the machine lear...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/64
CPCG06F16/5838G06F18/231
Inventor 张浪辛良申田李云峰张孝林
Owner XIAN HWATECH MEDICAL INFORMATION TECH
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