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Purple soil image shadow detection method

A technology of shadow detection and purple soil, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problems of inaccurate results, far from the difference, and high time cost of purple soil and soil species.

Active Publication Date: 2019-11-08
CHONGQING NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0003] However, the extracted purple soil image is affected by direct light and indirect light, and there are often shadows. The existence of shadows affects the subsequent identification of purple soil genus and soil species, making the process of identifying purple soil genus and soil species The time overhead is high, and the recognized results are not accurate, or even far from each other

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  • Purple soil image shadow detection method
  • Purple soil image shadow detection method

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Embodiment Construction

[0073] like figure 1 As shown, a kind of purple soil soil image shadow detection method provided by the present invention comprises steps:

[0074] S1: Segment the original image of purple soil into shaded and non-shaded areas; in this embodiment, the original image of purple soil refers to a color image that only contains purple soil, which can be The image segmentation and extraction method is obtained by performing segmentation and extraction of the purple soil image on the collected image containing purple soil, which will not be described in detail here.

[0075] S2: Eliminate discrete shadow areas to obtain reserved shadow areas;

[0076] S3: Divide the reserved shadow area into a hologram area and a penumbra area. Through the above method, the non-shaded area, half-shaded area and full-shaded area of ​​the purple soil image can be accurately segmented, which is convenient for the subsequent accurate identification of the purple soil genus and soil species.

[0077] F...

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Abstract

The invention provides a purple soil image shadow detection method. The purple soil image shadow detection method comprises the following steps: S1, segmenting an original image of purple soil into ashadow area and a non-shadow area; S2, eliminating the discrete shadow area to obtain a reserved shadow area; and S3, segmenting the reserved shadow area into a full shadow area and a half shadow area. According to the purple soil image shadow detection method, the illumination model of the purple soil image is established, and the non-shadow area, the semi-shadow area and the full-shadow area ofthe purple soil image are accurately segmented by utilizing the difference of the brightness of the soil image, so that subsequent elimination of the purple soil image shadow is facilitated, and a foundation is laid for further purple soil genus and soil species identification.

Description

technical field [0001] The invention relates to the technical field of image segmentation and extraction of purple soil, in particular to a shadow detection method of purple soil image. 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, and it is also very difficult for the agricultural technicians on the front line of production to completely and accurately identify the local soil. Soil type identification based on soil classification system is a common problem in agricultural production practice. The development of artificial intelligence technology has made it possible for machine vision to identify soil. Machine vision soil recognition is to recognize soil images with complex backgrounds tak...

Claims

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Application Information

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IPC IPC(8): G06K9/34
CPCG06V10/273G06V10/267
Inventor 曾绍华罗俣桐郝森詹林庆
Owner CHONGQING NORMAL UNIVERSITY
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