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Fisheye pupil intelligent measurement method based on machine learning

A technology of machine learning and intelligent measurement, which is applied to instruments, computer parts, acquisition/recognition of eyes, etc., can solve the problems of time-consuming, labor-intensive precision, low efficiency, etc., to avoid errors, fast measurement speed, and improve measurement accuracy and measure the effect of efficiency

Active Publication Date: 2018-06-19
TIANJIN UNIV
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

This method can solve the disadvantages of time-consuming, labor-intensive, poor precision and low efficiency in traditional fisheye pupil diameter measurement, and realize non-destructive, accurate and intelligent measurement

Method used

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  • Fisheye pupil intelligent measurement method based on machine learning
  • Fisheye pupil intelligent measurement method based on machine learning
  • Fisheye pupil intelligent measurement method based on machine learning

Examples

Experimental program
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Embodiment

[0071] Embodiment: take the intelligent measurement of the eye pupil size of oval pomfret as an example to further illustrate the concrete method of the present invention:

[0072] Step 1. Under normal light conditions, Hainan Blue Ocean Aquaculture Co., Ltd., Yandun Village, Xincun Town, Lingshui County, Hainan Province—the industry-university-research base of Ocean College of Hainan University, uses OLYMPUS TG-4, f / 2.0, focal length: 4mm , the camera with lens distortion correction collected 1000 images of pomfret fish. The format of the image is JPEG, the color mode is RGB, the size of the image is 4608×3456, the length of the image acquisition platform is 560mm, and the pixel size is 4608. Among the fish example images, 100 are used for measurement, and the rest of the legends are used to make positive and negative samples of the fish example image. The sizes of the positive and negative sample images are 24*24 and 284*284, respectively. The measured images are imported i...

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Abstract

The invention relates to a fisheye pupil intelligent measurement method based on machine learning. The method comprises steps: a fish case image is acquired, a fisheye classifier for the acquired fishcase image is calculated, the fisheye classifier is used to acquire a fisheye area, the pixel size of the fisheye pupil in the fisheye area is calculated, and the pixel size of the fisheye pupil is converted to the actual fisheye size. According to the method provided in the invention, the fisheye classifier obtained through training by an AdaBoost-based machine learning method is used to accurately detect the fisheye area in the fish case image, non-contact intelligent measurement on the fisheye pupil can be realized in combination of a computer vision technology and an image processing technology, and while the precision and the stability of the measured data are ensured, the measurement efficiency and the measurement intelligence are improved.

Description

technical field [0001] The invention relates to a measurement method in the field of aquaculture, and relates to an intelligent measurement method for fisheye pupil parameters. Background technique [0002] In the process of aquaculture, the characteristic parameters of fish are of great significance. For example, in the breeding of improved fish species, it is necessary to regularly measure the growth traits of fish such as body length, body width, tail peduncle length, and fish eye pupil. These indicators It has important reference value for the formulation of breeding and breeding plans, and plays an indispensable role in the evaluation of improved breeding. In addition, these indicators, in the classification and evaluation of fish grade and freshness, the body length and width of fish, especially the fish eye pupil data are important judging parameters. [0003] However, the traditional method of measuring fish physical parameters is to measure the fish in steps and mu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/46G06K9/62
CPCG06V40/197G06V40/193G06V10/48G06V10/25G06F18/214Y02A40/81
Inventor 赵瑶池胡祝华刘世光张逸然骆剑钟杰卓
Owner TIANJIN UNIV
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