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Live pig ear image segmentation method based on active contour model

An active contour model and image segmentation technology, applied in the field of image processing, can solve problems such as unsatisfactory automatic extraction, and achieve the effect of accurate segmentation

Inactive Publication Date: 2018-08-28
XINYANG AGRI & FORESTRY UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, this method can only realize the extraction of complete ear images; on the other hand, it needs to select a large number of feature points to establish the contour model of pig ear images, which does not meet the requirements of automatic extraction.

Method used

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  • Live pig ear image segmentation method based on active contour model
  • Live pig ear image segmentation method based on active contour model
  • Live pig ear image segmentation method based on active contour model

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0031] figure 1 It is a schematic flow diagram of the pig ear image segmentation method based on the active contour model of the embodiment of the present invention, as figure 1 As shown, the method includes:

[0032] S101, using an algorithm to perform a preprocessing operation on the pig image, improving the image quality, and highlighting the gray level difference between the ear area and surrounding pixels;

[0033] S102, reconstructing the image area by rand...

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Abstract

The invention discloses a live pig ear image segmentation method based on an active contour model. The method comprises steps that the algorithm is utilized to preprocess an image of a live pig, the quality of the image is improved, and grayscale difference between the ear region and surrounding pixels can be highlighted; the image area is reconstructed by randomly acquiring ear pixel points, andthe active contour model is utilized to perform preliminary segmentation of the ear image; the reconstructed active contour model is utilized to accurately extract the live pig ear image, and therebythe final segmented image is acquired. Compared with the traditional segmentation method, the live pig ear image segmentation method has advantages of fast speed and good effect, for the target area that may appear in the process of early warning of the blue ear disease of pigs, relatively good segmentation can be achieved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a pig ear image segmentation method based on an active contour model. Background technique [0002] With the scale and integration of pig breeding, the outbreak rate of pigs in the circulation process is also gradually increasing. Among them, blue ear disease is a common infectious disease in the pig breeding process, which has the characteristics of high infectivity and wide prevalence. , the most intuitive clinical manifestation is that the patient's ears are purple, and blood spots appear under the skin. At present, the detection of PRRS is still mainly based on manual inspection, the work efficiency is low, and the effect of inspection is not ideal. [0003] With the rapid development of computer vision technology, a large number of high-resolution image acquisition devices have emerged, enabling us to quickly and clearly acquire live pig images in the real environm...

Claims

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Application Information

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IPC IPC(8): G06T7/149
CPCG06T7/149
Inventor 陈松楠牛炳麟陈雪林张莉刘陆民杜永强吴锋王同军朱猛马巍
Owner XINYANG AGRI & FORESTRY UNIV
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