Tubercle bacillus target recognizing and counting algorithm based on diverse characteristics

A technology for Mycobacterium tuberculosis and target recognition, which is applied in the field of medical image processing and pattern recognition, and can solve problems such as inability to recognize and count
CN101877074AInactive Publication Date: 2010-11-03常州超媒体与感知技术研究所有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
常州超媒体与感知技术研究所有限公司
Publication Date
2010-11-03
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to the field of medical image processing and mode recognition, in particular to a tubercle bacillus target recognizing and counting algorithm based on diverse characteristics. The algorithm comprises the following steps of: image preprocessing: carrying out image reinforcement and constructing median filter and Gaussian filter on a tubercle bacillus microimage; color image partition: carrying out fixed threshold partition based on HSV (Hue-Saturation-Value) color space on a preprocessed image and then carrying out adaptive threshold partition which is based on CIE L*a*b* color space and keeps a geometric shape of a target; communication block morphological analysis and target recognition: carrying out communication block analysis on the partitioned image; and tubercle bacillus target counting: estimating the quantity of tubercle bacillus targets in the image by utilizing a histogram statistics and multistrategy calculation method. The invention can effectively extract the bacillus targets in the tubercle bacillus microimage subjected to acid-fast stain from background and impurities and carry out accurate counting, thereby realizing the automation and the intellectualization of the detection of tubercle bacilli.
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Description

technical field

[0001] The invention relates to the fields of medical image processing and pattern recognition, in particular to a multiple feature-based recognition and counting algorithm for Mycobacterium tuberculosis targets. Background technique

[0002] Pulmonary tuberculosis is one of the serious diseases that endanger human health. At present, the commonly used inspection methods include X-ray chest fluoroscopy, tuberculosis culture and direct microscope smear test for sputum. X-ray chest fluoroscopy is not easy to distinguish from other lung diseases; tuberculosis culture method is accurate and reliable, but it takes a long time, usually 4 to 8 weeks, which affects the patient's treatment time; direct smear smear test method with microscope is fast and simple, but this method It relies heavily on the knowledge and experience of pathologists, has very high requirements for experts, and cannot give quantitative results, which may easily lead to missed diagnosis. [00...

Claims

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