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Grapefruit image segmentation method based on double-strategy harmony search algorithm

A technology of image segmentation and search algorithm, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of slow segmentation speed and low segmentation accuracy

Inactive Publication Date: 2015-07-29
JIANGXI UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the harmony search algorithm has achieved successful results in many engineering fields, the traditional harmony search algorithm often has the disadvantages of slow segmentation speed and low segmentation accuracy when segmenting grapefruit images.

Method used

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  • Grapefruit image segmentation method based on double-strategy harmony search algorithm
  • Grapefruit image segmentation method based on double-strategy harmony search algorithm
  • Grapefruit image segmentation method based on double-strategy harmony search algorithm

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Experimental program
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Embodiment

[0061] This embodiment is based on figure 1 The grapefruit image to be segmented, the specific implementation steps of the present invention are as follows:

[0062] Step 1, utilize camera to collect a grapefruit image AI, then convert the collected grapefruit image AI into grapefruit image BI of YCrCb color space;

[0063] Step 2, extract the Cb color component value of each pixel in the grapefruit image BI as the clustering data, and store the extracted clustering data in the matrix Data according to the row and column coordinates of the pixels in the grapefruit image BI, so that the matrix can be established The one-to-one correspondence between each element of Data and each pixel in the grapefruit image AI, where the size of the matrix Data is DH×DW, and the value of DH is equal to the height of the grapefruit image AI, and the value of DW is equal to the grapefruit The width of the image AI;

[0064] Step 3, the user initializes parameters, and the initialization parame...

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Abstract

The invention discloses a grapefruit image segmentation method based on a double-strategy harmony search algorithm, which mainly solves the problems of low segmentation speed and low segmentation precision of a traditional harmony search algorithm which is applied to grapefruit image segmentation. According to the grapefruit image segmentation method, an adjustment strategy guided by an optimal individual and an adjustment strategy guided by a random individual are fused in the tone adjustment process when a grapefruit image is segmented by using the harmony search algorithm, so that the balance between the convergence speed and the group diversity is realized, and the segmentation precision of the grapefruit image is increased; in addition, the local search capability of the algorithm and the segmentation speed of the grapefruit image are increased by utilizing an elite chaos search strategy. Compared with a similar method, the grapefruit image segmentation method has the advantage that the segmentation speed and segmentation precision of the grapefruit image can be increased.

Description

technical field [0001] The invention relates to the field of image segmentation, in particular to a grapefruit image segmentation method based on a dual-strategy harmony search algorithm. Background technique [0002] Grapefruit is a fruit that is recognized as having a very good nourishing effect. It is rich in nutrients, rich in calcium, phosphorus, iron, carotene, sulfate, riboflavin, niacin, ascorbic acid and so on. It not only has the effect of appetizing and promoting digestion, but also contains the physiologically active substance dermoside, which can reduce the viscosity of blood to a certain extent and reduce the risk of thrombus formation, so it can prevent cardiovascular and cerebrovascular diseases. It can be seen from this that the pomelo industry is a very potential modern agricultural development project. [0003] In order to realize the large-scale development of the pomelo industry, it is necessary to first realize the automation and intelligence of the p...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/40
CPCG06T2207/10024
Inventor 郭肇禄岳雪芝谢霖铨尹宝勇杨火根叶坤涛吴志健
Owner JIANGXI UNIV OF SCI & TECH
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