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Mycobacterium tuberculosis image segmentation identification method based on optimization watershed and apparatus thereof

A tuberculosis and image segmentation technology, which is applied in image analysis, image enhancement, image data processing, etc., can solve problems such as misjudgment, time-consuming calculation, and ineffective classification and recognition, so as to improve recognition accuracy and segmentation accuracy , Improve the effect of segmentation recognition accuracy

Active Publication Date: 2017-07-18
上海澜澈生物科技有限公司
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Problems solved by technology

[0004] The watershed algorithm is a commonly used segmentation method in pattern recognition, but if it is directly applied to the classification of Mycobacterium tuberculosis, the effect of classification recognition is not obvious, and there are often misjudgments, and the over-segmentation of the watershed will make subsequent calculations very consuming. Time

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  • Mycobacterium tuberculosis image segmentation identification method based on optimization watershed and apparatus thereof
  • Mycobacterium tuberculosis image segmentation identification method based on optimization watershed and apparatus thereof
  • Mycobacterium tuberculosis image segmentation identification method based on optimization watershed and apparatus thereof

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[0056]The implementation of the present invention is described below through specific examples and in conjunction with the accompanying drawings, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific examples, and various modifications and changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0057] figure 1 It is a flow chart of the steps of a method for image segmentation and recognition of Mycobacterium tuberculosis based on optimized watershed in the present invention. Such as figure 1 As shown, a kind of tubercle bacillus image segmentation recognition method based on optimized watershed of the present invention comprises the following steps:

[0058] Step 101, obtain the ...

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Abstract

The invention discloses a mycobacterium tuberculosis image segmentation identification method based on an optimization watershed and an apparatus thereof. The method comprises the following steps of acquiring a mycobacterium tuberculosis RGB image, converting a mycobacterium tuberculosis image RGB mode into a Lab mode, and calculating a die image g of a gradient of an a component; according to a value distribution condition of the die image g of the gradient, deleting a background and reserving a mycobacterium tuberculosis boundary, carrying out boundary line segment connection at a mycobacterium tuberculosis boundary fracture position, carrying out a watershed algorithm on an acquired image so as to acquire a watershed image L; and successively determining each area of the watershed image L, according to color information and mycobacterium tuberculosis shape information, deleting an impurity area and reserving the mycobacterium tuberculosis. In the invention, mycobacterium tuberculosis classification identification precision and a speed under microimaging can be effectively increased.

Description

technical field [0001] The invention relates to a method and device for image segmentation and recognition of Mycobacterium tuberculosis, in particular to a method and device for image segmentation and recognition of Mycobacterium tuberculosis based on optimized watershed. Background technique [0002] At present, the detection of Mycobacterium tuberculosis mainly relies on manual observation and counting of Mycobacterium tuberculosis with an optical microscope. Since the national requirement is to effectively count within 300 fields of view, this is very time-consuming and labor-intensive. Therefore, the automatic detection of Mycobacterium tuberculosis under optical microscopic imaging is particularly important. The computer-aided diagnosis of tuberculosis detection and recognition based on optical microscope has become a research hotspot in the field of medical image processing and pattern recognition in recent years, and the quality of target segmentation and recognition...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/90G06T7/12
CPCG06T2207/20024G06T2207/10056G06T2207/20152G06T2207/20221G06T5/92G06T5/77G06T5/70
Inventor 庄泉洁严斯能
Owner 上海澜澈生物科技有限公司
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