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Image abstract acquisition method based on color and structural features

A technology of structural features and image abstraction, applied in the field of image processing, can solve the problems of missing image information features, image classification performance needs to be improved, and achieve high recognition rate, low collision rate, and good classification performance

Pending Publication Date: 2019-11-22
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0009]Tang et al. designed a hash method based on the main DCT coefficients. This method first divides the image into blocks, and then performs DCT transformation on the image blocks. For each image block The first row and the first column of the DCT transformation matrix perform two-norm distance calculation to construct a hash. Since the image information after DCT transformation is mainly concentrated in the low-frequency part, only extracting the first row and the first column will lose the image information features. leading to image classification performance to be improved

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  • Image abstract acquisition method based on color and structural features
  • Image abstract acquisition method based on color and structural features
  • Image abstract acquisition method based on color and structural features

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Embodiment

[0060] Such as figure 1 As shown, an image summary acquisition method based on color and structural features, the method includes the following steps:

[0061] 1) Image preprocessing;

[0062] 2) Color feature extraction: the preprocessed image is divided into blocks, and color features are extracted based on the color vector angle and the color Euclidean distance;

[0063] 3) Structural feature extraction: extract the luminance component from the preprocessed image, and apply quadtree decomposition to the luminance component to extract the structural feature;

[0064] 4) Combine color features and structure features, and scramble them to obtain an image hash sequence, and obtain an image summary.

[0065] Step 1) Image preprocessing specifically includes: performing Gaussian low-pass filtering on the input image and adjusting it to the same size: N×N.

[0066] Step 2) is specifically:

[0067] 21) Divide the preprocessed image into L×L image blocks, and calculate the mean...

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Abstract

The invention relates to an image abstract acquisition method based on color and structural features. The method comprises the following steps: 1) image preprocessing; 2) color feature extraction: performing block processing on the preprocessed image, and extracting color features based on a color vector angle and a color Euclidean distance; 3) structural feature extraction: extracting a brightness component from the preprocessed image, and applying quadtree decomposition to the brightness component to extract structural features. Compared with the prior art, the image tampering detection method has the advantages that the image tampering detection method is good in robustness and low in collision rate and can be used for image tampering detection, and tampering regions can be positioned by the aid of the structural features.

Description

technical field [0001] The invention relates to an image processing method, in particular to an image summary acquisition method based on color and structural features. Background technique [0002] In recent years, with the rapid development of Internet technology, the content security of images has attracted widespread attention. With the upgrading of image editing software, people can easily tamper with image content, so special technical methods are needed to ensure the credibility of image content. Image summary, also known as image hash, maps images one-way to a short string of numbers or sequences. Image hashing usually should have the following basic properties: 1) Robustness, after the image undergoes content-preserving image processing such as brightness adjustment, contrast adjustment, compression, etc., the image summary will not change greatly; 2) Uniqueness, different Images have different image summaries; 3) security, without knowing the correct key, the cor...

Claims

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Application Information

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IPC IPC(8): G06T1/00G06T7/90G06T9/40
CPCG06T1/0021G06T7/90G06T9/40G06T2201/005
Inventor 赵琰沈麒
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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