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Purple Soil Image Segmentation and Extraction Method Based on Normal Distribution h Threshold

A normal distribution and image segmentation technology, which is applied in image analysis, image enhancement, image data processing, etc., can solve the problems of large time consumption, large error, and low accuracy, and achieve the effect of improving accuracy

Active Publication Date: 2022-01-28
CHONGQING NORMAL UNIVERSITY +1
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Problems solved by technology

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

Method used

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  • Purple Soil Image Segmentation and Extraction Method Based on Normal Distribution h Threshold
  • Purple Soil Image Segmentation and Extraction Method Based on Normal Distribution h Threshold
  • Purple Soil Image Segmentation and Extraction Method Based on Normal Distribution h Threshold

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Embodiment Construction

[0103] Such as figure 1 As shown, a kind of purple soil image segmentation extraction method based on normal distribution H threshold provided by the present invention comprises steps:

[0104] 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 HSV color space;

[0105] S2: Determine the threshold for segmenting image I, and segment image I according to the threshold for segmenting image I to obtain binary image II;

[0106] S3: Identify the boundary of binary image II to obtain binary image III;

[0107] S4: Extract the boundary of the purple soil area in the binary image III, and obtain the binary image V from which the boundary is extracted;

[0108] S5: Fill the closed area separated by the boundary in the binary image III to obtain the binary image IV;

[0109] S6: Calculating the Hadamard product of the binary image IV and the color image containing the purple soil area to ob...

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Abstract

The present invention provides a purple soil image segmentation and extraction method based on a normal distribution H threshold, comprising steps S1: converting a color image containing a purple soil area into an image I in HSV color space; S2: determining a threshold for segmenting image I , segment image I to obtain binary image II; S3: identify the boundary of binary image II to obtain binary image III; S4: extract the boundary of the purple soil area in binary image III to obtain the binary value of the extracted boundary Image Ⅴ; S5: Fill the closed area separated by the boundary in the binary image Ⅲ to obtain the binary image Ⅳ; S6: Find the Hadamard product of the binary image Ⅳ and the color image containing the purple soil region; the present invention fully considers The soil area of ​​the purple soil color image has good aggregation characteristics in the H component of the HSV color space and the H component of the purple soil image is approximately normally distributed, and the H component segmentation threshold is obtained to separate the soil area from the background area quickly, accurately, and efficiently. Completely split out.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/136G06T7/13G06T7/12G06T7/187
CPCG06T7/12G06T7/13G06T7/136G06T7/187G06T2207/10024
Inventor 曾绍华程蓉王帅曾卓华
Owner CHONGQING NORMAL UNIVERSITY
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