Image fuzzy classification method applying image correlation

A technology of fuzzy classification and correlation, applied in image analysis, image data processing, character and pattern recognition, etc., can solve problems such as large amount of classification and calculation

Inactive Publication Date: 2018-09-28
句容沣润塑料制品有限公司
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Problems solved by technology

However, an optimal "Tuned" texture template is only suitable for a specific group of images. Assuming that it is a residential image, the classification calculation of the group of images of mountains and paddy fields is relatively large

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  • Image fuzzy classification method applying image correlation
  • Image fuzzy classification method applying image correlation
  • Image fuzzy classification method applying image correlation

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0042] Such as figure 1 As shown, the present invention provides a kind of image fuzzy classification method using image correlation degree, comprising the following steps:

[0043] Step 1, for each image to be classified, calculate its fractal dimension feature and energy feature (reference: Zheng Zhaobao, Zheng Hong. Genetic Algorithm for Producing Texture "Tuned" Masks [J]. PR&AI, 2001), according to fractal Divide the image into 3 categories according to the size of dimensional features and energy features (reference: ZhengZhaobao, Huang Guilan. Using Least Square Method for Texture Classification of Aerial Image and Analyzing Some Relative Problems [J]. Acta Geodaetica ttCartographica Sinica, 1996);

[0044] Step 2, the total number of images contained in the three types of images is recorded as n1, n2, and n3 respectively, and the mean value of t...

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Abstract

The invention discloses an image fuzzy classification method applying image correlation. The method comprises the steps of 1, for to-be-classified images, calculating fractal dimension characteristicsand energy characteristics of the images, and according to the values of the fractal dimension characteristics and the energy characteristics, classifying the images into three types; 2, marking thetotal image quantities in the three types of the images as n1, n2 and n3 respectively, calculating texture characteristic mean values of the characteristics of the three types of the images, and marking the texture characteristic mean values as mean1, mean2 and mean3 respectively; 3, calculating differences between each image and the texture characteristic values of the three types of the images;4, calculating the correlations between each image and the three types of the images; 5, calculating a mean value of the correlations of the three types of the images in the respective types; and 6, determining whether the images belong to the current type of the images or not.

Description

technical field [0001] The invention relates to an image fuzzy classification method using image correlation degree. Background technique [0002] Image texture classification is a key technology for automatic image interpretation. The document "You J, Cohen HA. Classification and Segmentation of Rotated and Scaled Textured Images Using Texture "Tuned" Mask[J]." uses the "Tuned" texture template to convolve with the original image , obtain the texture energy that can reflect the texture features, and carry out the texture classification of the image. The quality of image texture classification depends on obtaining the optimal "Tuned" texture template. However, an optimal "Tuned" texture template is only suitable for a specific group of images. Assuming that they are images of residential areas, the classification calculation of the images of mountains and paddy fields is relatively large. Image classification methods based on fuzzy rules and fuzzy reasoning have emerged in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T7/40
CPCG06T7/40G06F18/24
Inventor 王祖贤华加美
Owner 句容沣润塑料制品有限公司
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