Image-based method for identifying shape of parasite egg

A recognition method and parasite technology, applied in the field of image recognition, can solve problems such as difficult recognition results, low recognition efficiency, and difficult detection needs of experimental methods, so as to improve recognition efficiency, improve accuracy and reliability, and overcome interference factors the effect of the influence

Active Publication Date: 2011-05-25
NANJING HUAKAI BIOLOGICAL TECH CO LTD
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AI Technical Summary

Problems solved by technology

So far, scholars at home and abroad have conducted research on the automatic identification of parasitic pathogens. However, these studies are often carried out based on an idealized state, and the experimental methods are difficult to meet the actual detection needs, especially when impurities In many cases, it is difficult to obtain stable recognition results, and the recognition efficiency is not high

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  • Image-based method for identifying shape of parasite egg
  • Image-based method for identifying shape of parasite egg
  • Image-based method for identifying shape of parasite egg

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Embodiment 1

[0039] like figure 1 Shown is the flow chart of the image-based parasite egg shape recognition method of the present invention.

[0040] An image-based method for recognizing the shape of parasite worm eggs, comprising the following steps:

[0041] (1) Establish the normalized edge spatial distribution histogram and edge contour area template of the parasite egg shape to be identified: the first step is to select several images with typical different shape features from the images containing parasite eggs to be identified image; the second step is to grayscale the inspection image information obtained by the micrographic equipment, and to normalize the brightness of the grayscale image to generate a normalized grayscale image; the third step is to interactively tick Draw its edge contour, such as figure 2 As shown, extract the egg region according to the drawn edge contour, and perform binarization processing, that is, the bit of the egg region is 1, and the rest is 0; the ...

Embodiment 2

[0052] The shape judgment process based on the edge space histogram includes the following steps:

[0053] (1) Rotate the 36 regional images representing the edge contour area of ​​parasite eggs to be identified from 0° to 359° with the center point as the origin, with a step size of 10°;

[0054] (2) After each rotation, extract the edge area of ​​each candidate area as in formula (1-2).

[0055] (1-2)

[0056] where C k is the kth candidate area, E i is the i-th region in the edge contour of parasite eggs, e i Then it is the i-th equal portion edge area extracted from the k-th candidate area. According to e i Obtain the cumulative histogram of the normalized edge spatial distribution of the kth candidate area under the rotation angle;

[0057] (3) Calculate the most similar angle between each candidate area and the edge information of the egg to be identified according to the formula (1-3). If the histogram similarity at this angle is less than ...

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Abstract

The invention discloses an image-based method for identifying the shape of a parasite egg. The method comprises the following steps of: establishing shape normalizing edge space distribution histograms and an edge profile region template of the parasite egg to be identified; carrying out normalization processing on the gray scale of an image; extracting edge information; merging edges; carrying out secondary filter on edge regions; and judging the shape on the basis of the edge space histograms, i.e. carrying out similarity judgment of the edge space distribution histograms on each candidate edge region according to the established shape edge space distribution histograms and the edge region information of the parasite egg to be identified and if the similarity of the edge space distribution histograms is less than Th, judging that the parasite egg is a human parasite egg to be identified. In the image-based method for identifying the shape of the parasite egg, a secondary edge region filter mechanism is introduced in, so that the computing speed and the real-time performance of an identification algorithm are improved; and a method of the edge space distribution histograms is introduced for carrying out judgment of the edge shape, so that the influence of various interference factors can be well overcome, the accuracy and the reliability of identification are improved and the image-based method for identifying the shape of the parasite egg can be more suitable for actual detection places with more interference factors.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to an image-based method for recognizing the shape of parasite eggs. Background technique [0002] The wide application of computer in medicine and the close combination of digital image processing technology and microscopic technology have produced an important branch of modern image processing—micromedical image processing. This technology has been applied in medical fields such as blood cell classification, cell diagnosis, chromosome karyotype analysis and microcirculation parameter detection. Micromedical image processing technology is conducive to improving the accuracy of medical diagnosis; especially the combination of pattern recognition technology and this technology, the formation of micromedical image automatic recognition technology, which reduces the heavy labor of medical staff and provides medical staff with Provided a reliable basis for diagnos...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/36
Inventor 沈玉娟陈盛霞金红李峰潘雨青孙启艳吴亮曹建平
Owner NANJING HUAKAI BIOLOGICAL TECH CO LTD
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