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 poor robustness, low detection accuracy, and complicated process, and achieve the effects of ensuring detection accuracy, improving detection efficiency, and good robustness
CN113240619BActive Publication Date: 2022-06-21CHONGQING NORMAL UNIVERSITY +1
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING NORMAL UNIVERSITY
Publication Date
2022-06-21

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Abstract

A soil image shadow detection method based on the improved subtraction histogram provided by the present invention comprises the following steps: S1. determining the Brightness feature and the Ratio' feature of the soil image; S2. determining the soil image based on the Brightness feature and the Ratio' feature of the soil image The shadow search interval of the soil image; S3. Determine the shadow detection threshold of the soil image based on the Brightness feature and the Ratio' feature of the soil image; S4. Perform shadow detection on the soil image based on the shadow search interval of the soil image and the shadow detection threshold; it can effectively detect the soil The shadow and non-shadow areas of the image are accurately identified and segmented to ensure the detection accuracy of the soil image shadow, and there is no redundancy in the algorithm, which effectively improves the detection efficiency and has good robustness.
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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] Soil images are collected by machine vision in the wild natural environment. Due to the occlusion of light and the uneven surface of the soil itself, there are shadows in the soil area in the image, and the shadows will interfere with further soil identification. Therefore, the detection of soil image shadows is to eliminate shadows. Necessary preprocessing work for segmentation and further soil species identification effects.

[0003] In the existing soil image shadow detection methods, such as the Otsu shadow segmentation method based on the chrominance and luminance ratio, and the existing subtraction histogram shadow segmentation method, these methods cannot accurately distinguish the shadow and non-shadow of the soil. The accuracy is low, the process is complex...

Claims

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