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Two-dimensional fuzzy entropy based adhesive material partition method

A technology of adhesion and fuzzy entropy, which is applied in image analysis, image data processing, instruments, etc., can solve the problems that are difficult to meet the requirements of the automation system, and achieve the effect of simple and clear steps, less time-consuming, and high recognition rate

Active Publication Date: 2015-02-11
BEIJING RES CENT FOR INFORMATION TECH & AGRI
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  • Abstract
  • Description
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Problems solved by technology

However, the algorithm can only achieve ideal results under human supervision, and it is difficult to meet the requirements of a system with a high degree of automation

Method used

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  • Two-dimensional fuzzy entropy based adhesive material partition method
  • Two-dimensional fuzzy entropy based adhesive material partition method
  • Two-dimensional fuzzy entropy based adhesive material partition method

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Embodiment Construction

[0040] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0041] The steps of the present invention are as figure 1 shown. The present invention will be further described below by the division to sticking diced potato:

[0042] S1: Collect the adhesion image and binarize the image to extract the target adhesion image;

[0043] Images of the adhesions are captured by a video camera or camera mounted on the device. For static occasions, images can also be collected manually; for dynamic occasions, the image acquisition cycle can be set according to the actual situation.

[0044] S2, using the watershed method to obtain the initial segmented area of ​​the adhesion image;

[0045] S3. Calculate the optimal segmentation threshold...

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Abstract

The invention discloses a two-dimensional fuzzy entropy based adhesive material partition method, and belongs to the technical field of quality monitoring. The two-dimensional fuzzy entropy based adhesive material partition method comprises the steps: collecting images of adhesive materials, extracting target adhesive material image from a binaryzation image, and obtaining initial segmented regions of adhesive material image by means of watershed transform; then calculating best segmentation threshold value between an overdivided region and a correct segmentation region in initial segmented regions, and obtaining the overdivided region and the correct segmentation region; calculating region characteristics after merging of the overdivided region; finally by means of comparison between the post-merged region characteristics and a standard sample characteristics model, choosing the region corresponding to minimum distance of the standard sample characteristics model as the merging region, and therefore obtaining partition result of the adhesive materials. The two-dimensional fuzzy entropy based adhesive material partition method has the advantages of being simple and clear in step, little in time consuming, suitable for fast segmentation to images and accurate in adhesive material partition.

Description

technical field [0001] The invention relates to the technical field of quality monitoring, in particular to a method for segmentation of adhesions based on two-dimensional fuzzy entropy. Background technique [0002] Fruit and vegetable quality control technology refers to the detection of external quality characteristics such as color, size, and shape of fruits and vegetables without touching or destroying fresh-cut fruits and vegetables. One of the difficulties is the misjudgment caused by the adhesion between fruits and vegetables. [0003] In the past 20 years, with the continuous advancement of computer technology, machine vision has become an effective method for fruit and vegetable quality control, but most of the research on fruit and vegetable quality control is based on the artificial separation of sticky fruits and vegetables, which is a waste of time. the process of. Therefore, automatic segmentation of cohesive images is the basis for quality control of fruits ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 张水发王开义刘忠强杨锋潘守慧
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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