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Segmentation method of Chinese food image

An image and food technology, applied in the field of image processing, to achieve the effect of helping identification and improving accuracy

Active Publication Date: 2017-09-12
SYSU CMU SHUNDE INT JOINT RES INST +1
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Problems solved by technology

[0008] In order to solve the above-mentioned defects in the prior art that multiple different image features need to be used for comparison when segmenting the dark region of the Chinese food image, the present invention provides a segmentation method of the Chinese food image. The method collects the Chinese food image Subsequent processing is performed on the texture image to achieve image segmentation. There is no need to collect a variety of image features during the segmentation process, and the application of this method can improve the accuracy of Chinese food image segmentation, thereby helping the recognition of Chinese food images

Method used

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Embodiment 1

[0026] Such as figure 1 As shown, the method provided by the invention specifically includes the following steps:

[0027] S1. Use the texture enhancement filter to filter the captured Chinese food image under m different scale parameters to obtain the texture image of the image under m different scale parameters; the value range of m is 8-16;

[0028] S2. Calculate the mean values ​​of the 16 texture images obtained in step S1, and use the calculated mean values ​​as thresholds to binarize the corresponding texture images to obtain the foreground and background regions of the texture images under threshold conditions;

[0029] S3. For each texture image, the center point of its foreground area is calculated separately, so as to be used as the position for placing the Gaussian function, and k times the number of pixels contained in the foreground area is used as the standard deviation to construct a corresponding Gaussian mask function, wherein The value of k ranges from 0.3 ...

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Abstract

The invention relates to a segmentation method of a Chinese food image. A texture image of a Chinese food image is collected and follow-up processing is carried out to realize image segmentation; and during the segmentation process, collection of several kinds of image features is not required. Moreover, with the method, the accuracy of segmentation of a Chinese food image can be improved and thus a Chinese food image can be identified well.

Description

technical field [0001] The present invention relates to the technical field of image processing, and more particularly, to a method for segmenting Chinese food images. Background technique [0002] The classic image segmentation method is based on the characteristics of the image. The main function of the image segmentation method is to segment the region with the same or similar characteristics. According to the different characteristics used, it can be roughly divided into the following categories: [0003] a). Based on the segmentation method of threshold value processing, it can divide the pixels of the image into different categories by setting the basic feature threshold. Commonly used features include: grayscale features, color features, or features transformed from original grayscale values ​​or color values, etc. An obvious way to extract objects or foreground objects from the background is to choose an appropriate threshold T to separate these feature patterns. ...

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Application Information

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IPC IPC(8): G06T7/11G06T7/194
CPCG06T7/11G06T7/194G06T2207/10004G06T2207/10024G06T2207/20024
Inventor 徐冰张东
Owner SYSU CMU SHUNDE INT JOINT RES INST
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