Method for automatically detecting cattle and sheep in high resolution image

A high-resolution, automatic detection technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as inability to obtain real-time data of cattle and sheep, excessive software limitations, and impact on results

Inactive Publication Date: 2016-10-12
CAPITAL NORMAL UNIVERSITY
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Problems solved by technology

The traditional statistical method of cattle and sheep is mainly through household statistics and reporting level by level, but the workload is huge, and the real-time data of cattle and sheep cannot be obtained
Although there are some software that can

Method used

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  • Method for automatically detecting cattle and sheep in high resolution image
  • Method for automatically detecting cattle and sheep in high resolution image
  • Method for automatically detecting cattle and sheep in high resolution image

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Embodiment Construction

[0038] Such as Figure 6 As shown in the present invention, a method for automatic detection of cattle and sheep with high-resolution images is divided into automatic detection of cattle and sheep with a single high-resolution image and automatic detection of cattle and sheep with multiple high-resolution images.

[0039] The automatic detection steps of cattle and sheep in a single high-resolution image are as follows:

[0040] 1. Load data

[0041] Select the images to be loaded in the format of tif, bmp, jpg, gif, etc., and load them in the interface. results such as figure 1 shown.

[0042] 2. Image cropping

[0043] If the data volume of the image is relatively large, or the cattle and sheep are only in a certain part of the image, if the calculation is performed on the entire image, it will take more time and the accuracy of the result is not high. At this time, you can crop the image, select the image you want to run and circle it with a rectangle in the image, and...

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Abstract

The invention relates to a method for automatically detecting cattle and sheep in a high resolution image. The method comprises a step of circling the cattle and the sheep, a step of marking the cattle and the sheep, a step of counting up quantities of the cattle and the sheep, a step of calculating area of the cattle and the sheep and other steps. In the step of circling the cattle and the sheep, the cattle and the sheep are circled in a dynamic manner through a level set algorithm thought via use of gradient information data of high mark images. In the step of marking the cattle and the sheep, the center of a cattle and sheep zone is found out, and the cattle and the sheep are marked. In the step of counting up the quantities of the cattle and the sheep, a cattle and sheep connection zone is found out via a breadth-first traversal, and the quantities of the cattle and the sheep can be determined based on area of the cattle and sheep connection zone. In the step of calculating the area of the cattle and the sheep, after a pixel size of the cattle and sheep connection zone is calculated, the area of the cattle and the sheep can be obtained. The method can be used for batch processing of image data, and cattle and sheep condition in a whole document folder can be calculated via one click.

Description

technical field [0001] The invention relates to the fields of remote sensing, computer vision, and ecological animal husbandry, and in particular provides an automatic detection method for cattle and sheep with high-resolution images to count and circle cattle and sheep. Background technique [0002] Cattle and sheep statistics have always been an important issue that ecological animal husbandry urgently needs to solve. The traditional statistical method of cattle and sheep is mainly through household statistics and reporting level by level, but the workload is huge, and the real-time data of cattle and sheep cannot be obtained. Although there are some software that can count wild animals, these software have too many restrictions, the degree of automation is not high, and it is impossible to automatically circle wild animals, and when there are other wild animals in the image, it will greatly affect the results. Impact. Contents of the invention [0003] The technical p...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/00
CPCG06T2207/20036G06T2207/30188G06T2207/30242G06V20/13
Inventor 张爱武高朋于洪波
Owner CAPITAL NORMAL UNIVERSITY
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