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Image-based parasite egg shape recognition system and method

An identification method and identification system technology, applied in the field of parasite egg shape identification system, can solve the problems of inattention, missed detection and wrong detection of parasitic diseases, difficult identification results, etc.

Inactive Publication Date: 2020-10-20
昭苏县西域马业有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] (1) When the number of pictures is large, the missed detection and wrong detection of parasitic diseases are often caused by the lack of experience, fatigue, and inattention of the inspectors.
[0006] (2) The existing automatic identification methods for parasitic pathogens are difficult to obtain stable identification results, and the identification efficiency is not high at the same time

Method used

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  • Image-based parasite egg shape recognition system and method
  • Image-based parasite egg shape recognition system and method
  • Image-based parasite egg shape recognition system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0113] The image-based method for recognizing the shape of parasite eggs provided by the embodiments of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as image 3 As shown, the method for performing grayscale processing on the collected worm egg image through the grayscale processing unit provided by the embodiment of the present invention includes:

[0114] S201. Obtain the gray value of each pixel in the original image of the egg sample by using the gray scale processing unit through the image preprocessing module to obtain a gray scale matrix.

[0115] S202. Obtain a balanced array according to the gray level distribution trend of rows / columns in the gray level matrix.

[0116] S203. Correct the grayscale matrix according to the equalization array, perform grayscale processing on the collected insect egg image, and convert the collected color insect egg image into a grayscale image.

[0117] S204. Sorting the pixels in the local ar...

Embodiment 2

[0123] The image-based method for recognizing the shape of parasite eggs provided by the embodiments of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as Figure 4 As shown, the method for performing median filter processing on the collected egg images through the median filter unit provided by the embodiment of the present invention includes:

[0124] S301. Roam the filtering template of the sliding window containing several points in the image, and coincide the center of the template with a certain pixel position in the image.

[0125] S302. Read gray values ​​of corresponding pixels in the template, and arrange these gray values ​​from small to large.

[0126] S303, take the intermediate data of this column of data, and assign it to the pixel corresponding to the central position of the template.

[0127] In step S303 provided by the embodiment of the present invention, if there are an odd number of elements in the window, the medi...

Embodiment 3

[0129] The image-based method for recognizing the shape of parasite eggs provided by the embodiments of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as Figure 5 As shown, the method for pattern recognition of the extracted worm egg image features using the decision tree method provided by the embodiment of the present invention includes:

[0130] S401. Integrating image information, merging image data information through an image processing process to form an information data source; generalizing image data, removing irrelevant attributes, and generating a decision tree training set.

[0131] S402. Construct a branch for each possible value of each attribute, and learn a classification model from the training data set to generate an initial decision tree.

[0132] S403, cut off the branches that will not increase the judgment error rate of the decision tree; extract the classification rules from the pruned decision tree, filter each...

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Abstract

The invention belongs to the technical field of image recognition and discloses an image-based parasite egg shape identification system and method. The image-based parasite egg shape recognition system comprises a sampling module, an image acquisition module, an illumination compensation module, an image preprocessing module, a central processing and control module, an image segmentation module, afeature extraction module, a feature recognition module, a judgment and calibration module, an image database construction module and a display module. The method is advantaged in that egg specimenscan be automatically collected through the sampling module, automatic acquisition of images is realized through the image acquisition module, image noise can be effectively removed by performing median filtering on the acquired image, the fuzzy effect on the original image is low while noise reduction is carried out, more details can be reserved, performance of dividing the attribute into a certain data set is measured by obtaining the information gain of each attribute of the decision tree, the current data set is divided, recognition efficiency is improved, and recognition accuracy is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to an image-based parasite egg shape recognition system and method. Background technique [0002] At present, due to many reasons such as climate, biology, nature, population flow, social and economic changes, and the decline in the prevention and control of parasites, some areas of my country have successively experienced various parasite outbreaks, and the number of acute infections has increased considerably. Insect epidemics are on the rise. Especially in vast and remote mountainous areas and rural areas, parasitic diseases have seriously affected the health of local people. How to diagnose parasitic diseases efficiently and detect parasitic diseases early is of great significance to the prevention and treatment of parasitic diseases. [0003] At present, the detection of parasites in the Centers for Disease Control and Prevention and hospitals is mainly t...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/38G06K9/34G06K9/62
CPCG06V20/693G06V20/695G06V20/698G06V10/28G06V10/30G06V10/267G06V10/751G06F18/24G06F18/214
Inventor 刘善辉李海马玉辉徐文慧杨雪芦文圆赵海利
Owner 昭苏县西域马业有限责任公司
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