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Purple Soil Image Segmentation and Extraction Method Based on Chebyshev Inequality h Threshold

A technology of image segmentation and extraction methods, applied in image analysis, based on specific mathematical models, image data processing, etc., can solve the problems of large time consumption, large errors, and low accuracy

Active Publication Date: 2021-11-12
CHONGQING NORMAL UNIVERSITY +1
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  • Application Information

AI Technical Summary

Problems solved by technology

At present, the existing image segmentation algorithms have low accuracy, large errors, and large time overhead, and cannot achieve adaptive segmentation during the segmentation process.

Method used

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  • Purple Soil Image Segmentation and Extraction Method Based on Chebyshev Inequality h Threshold
  • Purple Soil Image Segmentation and Extraction Method Based on Chebyshev Inequality h Threshold
  • Purple Soil Image Segmentation and Extraction Method Based on Chebyshev Inequality h Threshold

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Embodiment Construction

[0088] Such as figure 1 Shown, the present invention provides a kind of purple soil image segmentation extraction method based on Chebyshev's inequality H threshold, comprising steps

[0089] S1: Acquire the color image containing the purple soil area, and convert the color image containing the purple soil area into the image I of the HSI color space;

[0090] S2: Obtain an adaptive segmentation threshold, perform adaptive segmentation on the image I, and obtain a binary image II;

[0091] S3: Eliminate the isolated pixel area of ​​the binary image II to obtain the binary image III;

[0092] S4: Fill the holes in the binary image III to obtain the binary image IV;

[0093] S5: Calculating the Hadamard product of the binary image IV and the color image containing the purple soil area to obtain an image with only the purple soil area. Through the above method, considering that the soil area of ​​the purple soil color image has good aggregation characteristics in the H compone...

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Abstract

The present invention provides a purple soil image segmentation and extraction method based on Chebyshev's inequality H threshold, comprising steps S1: converting a color image containing a purple soil region into an image I in the HSI color space; S2: performing adaptive segmentation on the image I , get the binary image II; S3: eliminate the isolated pixel area of ​​the binary image II, get the binary image III; S4: fill the holes in the binary image III, get the binary image IV; S6: find the binary image IV and The Hadamard product of the color images containing the purple soil region obtains the purple soil image; the present invention considers that the soil region of the purple soil color image has good aggregation characteristics in the H component of the HSI color space, adaptively obtains the H component segmentation threshold, and divides the image into The soil area of ​​​​is quickly, accurately and completely segmented from the background area.

Description

technical field [0001] The invention relates to an image segmentation and extraction method, in particular to a purple soil image segmentation and extraction method based on Chebyshev inequality H threshold. Background technique [0002] Machine vision recognition of soil has important practical value in agricultural production. In agricultural production, identifying soil is very important. Due to the complexity of the soil classification system, only a few experts from scientific research institutes can accurately identify the soil. It is also very difficult for the agricultural technicians on the front line of production to completely and accurately identify the local soil. It is very difficult to identify soil types from different regions. An international common problem. The development of artificial intelligence technology has made it possible for machine vision to identify soil. [0003] Machine vision soil recognition is to recognize soil images with complex backg...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/194G06T7/90G06T7/136G06N7/00G06K9/62
CPCG06T7/136G06T7/194G06T7/90G06N7/01G06F18/23213
Inventor 曾绍华罗俣桐王帅曾卓华
Owner CHONGQING NORMAL UNIVERSITY
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