Normal distribution H threshold-based purple soil image segmentation and extraction method

Abstract

The present invention provides a normal distribution H threshold-based purple soil image segmentation and extraction method. The method comprises the following steps that: S1, a color image containinga purple soil region is converted into the image I of an HSV color space; S2, a threshold for segmenting the image I is determined, and the image I is divided, and a binary image II can be obtained;S3, the boundary of the binary image II is identified, so that a binary image III is obtained; S4, the boundary of the purple soil region in the binary image III is extracted, and the binary image V of the extracted boundary is obtained; S5, a closed region segmented out from the boundary in the binary image III is filled, so that a binary image IV can be obtained; and S6, the Hadamard product ofthe binary image IV and the color image containing the purple soil region is obtained. According to the method of the invention, a fact that the soil region of the purple soil color image has a good aggregation characteristic in the H component of the HSV color space, and a fact that the H component of the purple soil image is in approximate normal distribution are considered, the segmentation threshold of the H component is obtained, and the soil region is quickly and accurately segmented from a background region completely.

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 a normal distribution H threshold. Background technique [0002] In soil classification, geographical distribution, topographic location, soil color, texture and structure are the basic characteristics of soil classification. Among them, the geographical distribution determines the soil type, the large topographical part determines the soil genus, and the local soil type distribution depends on the soil color, texture and structure. Because the topsoil is affected by wind, sun, rain, soil moisture, attached lichens, mosses and weeds, etc., the color is unstable, so the color of the inner soil is used as an important classification basis. [0003] With the development of modern agriculture, along with the application of agricultural automation and sensing technology in agriculture, the requirement of usi...

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Problems solved by technology

At present, the existing image segmentation algorithms have low accuracy, large error, and large time overhead.

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