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Soil image shadow detection method based on improved subtraction histogram

A technology of shadow detection and histogram, which is applied in the field of soil image processing, can solve problems such as low detection accuracy, poor robustness, and complicated process, and achieve the effects of improving detection efficiency, ensuring detection accuracy, and good robustness

Active Publication Date: 2021-08-10
CHONGQING NORMAL UNIVERSITY +1
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Problems solved by technology

[0003] In the existing soil image shadow detection methods, such as the Otsu shadow segmentation method of chromaticity and brightness ratio, and the existing subtractive histogram shadow segmentation method, these methods cannot accurately distinguish the shadow and non-shade of soil, and the detection Low precision, complex process and poor robustness

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  • Soil image shadow detection method based on improved subtraction histogram
  • Soil image shadow detection method based on improved subtraction histogram
  • Soil image shadow detection method based on improved subtraction histogram

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Embodiment Construction

[0061] Below in conjunction with accompanying drawing, the present invention is further described in detail:

[0062] A kind of soil image shadow detection method based on the improved subtraction histogram provided by the invention comprises the following steps:

[0063] S1. Determine the Brightness and Ratio features of the soil image:

[0064]

[0065]

[0066] The Ratio feature is stretched and reconstructed to obtain the Ratio' feature:

[0067]

[0068] Among them, α is the stretching factor and α∈[2,3], Red(i,j), Green(i,j), Blue(i,j) represent the soil image row i and j column pixel RGB three Channel gray value, N represents the number of channels and N=3;

[0069] S2. Determine the shadow search interval of the soil image based on the Brightness feature and the Ratio' feature of the soil image;

[0070] S3. Determine the shadow detection threshold of the soil image based on the Brightness feature and the Ratio' feature of the soil image;

[0071] S4. Perf...

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Abstract

The invention provides a soil image shadow detection method based on an improved subtraction histogram. The method comprises the following steps: S1, determining a Bright feature and a Ratio' feature of a soil image; S2, determining a shadow search interval of the soil image on the basis of the Bright feature and the Ratio'feature of the soil image; S3, determining a shadow detection threshold value of the soil image based on the Briggle feature and the Ratio'feature of the soil image; S4, carrying out shadow detection on the soil image based on the shadow search interval and the shadow detection threshold value of the soil image. According to the method, the shadow and non-shadow areas of the soil image can be effectively and accurately identified and segmented, so the detection precision of the shadow of the soil image is ensured, redundancy does not exist in the algorithm, the detection efficiency is effectively improved, and good robustness is achieved.

Description

technical field [0001] The invention relates to the field of soil image processing, in particular to a soil image shadow detection method based on an improved subtraction histogram. Background technique [0002] Machine vision collects soil images in a natural environment in the wild. Due to the occlusion of light and the uneven surface of the soil itself, there are shadows in the soil area in the image, which will interfere with further soil identification. Necessary preprocessing work for segmentation and further impact on soil type identification. [0003] In the existing soil image shadow detection methods, such as the Otsu shadow segmentation method of chromaticity and brightness ratio, and the existing subtractive histogram shadow segmentation method, these methods cannot accurately distinguish the shadow and non-shade of soil, and the detection The accuracy is low, and the process is complicated, and the robustness is poor. [0004] Therefore, in order to solve the ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/40G06T7/10G06T7/136
CPCG06T7/0002G06T7/10G06T7/136G06T5/40G06T2207/10004G06T2207/20112
Inventor 曾绍华王琪佘春燕王帅罗达璐
Owner CHONGQING NORMAL UNIVERSITY
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