Image retrieval method based on spectrum analysis

An image retrieval and image technology, applied in the field of image retrieval based on spectrogram analysis, can solve problems such as difficult to describe lesions, or even the entire image, and achieve fast and simple effects

Inactive Publication Date: 2014-04-02
BEIHANG UNIV
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Problems solved by technology

[0005] However, from the perspective of image descriptor design, although image local feature descriptors represented by SIFT (Scale Invariant Feature Transform), SURF (Speeded Up Robust Features), and HOG (Histograms of Oriented Gradients) have been able to obtain mor

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  • Image retrieval method based on spectrum analysis
  • Image retrieval method based on spectrum analysis
  • Image retrieval method based on spectrum analysis

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Embodiment Construction

[0031] figure 1 The overall processing flow of the image retrieval method based on spectrogram analysis is given, and the present invention will be further described below in conjunction with other drawings and specific implementation methods.

[0032] The present invention provides a kind of image retrieval method based on spectrogram analysis, and main steps are introduced as follows:

[0033] 1. Hierarchical superpixel segmentation based on linear iterative clustering

[0034] The superpixel segmentation based on linear iteration, according to the similarity of color and the similarity of the image plane position, divides the image into multiple sub-regions through simple linear clustering to form superpixels.

[0035] In order to consider the similarity of image color and plane position, a linear iterative clustering is performed using a five-dimensional space (Labxy). Among them, Lab is the color vector of the pixel in the CIELAB color space, and its characteristic is t...

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Abstract

The invention provides an image retrieval method based on spectrum analysis. The method comprises the following five steps: performing layering super-pixel segmentation based on linear iteration to extract and remove the redundancy of an image and lower the complexity of image processing; performing dual-adjustment and distance definition on a two-dimensional image, and counting the dual-adjustment and distance distribution of the image to describe the local structural characteristics of the image; performing image sub-block segmentation based on spectral clustering to fuse more image internal implication structural characteristic information, wherein the image sub-block segmentation is more visually significant than the single super-pixel; performing image descriptor sub-design based on a word bag model, and performing statistical analysis on the frequency of the appearance of image characteristics to describe the components and the entire structure of the image. Via retrieval of an image descriptor based on spectrum analysis, the effectiveness of the method is proven through a practical image retrieval result. The image retrieval method designed by the invention has the characteristics of high distinguishing capability and high flexibility.

Description

technical field [0001] The present invention designs an image retrieval method that fuses object information and image global information image descriptors by combining the local feature measurement with the global spectrum analysis of the image, and makes the descriptors have scale invariance and non-rigid deformation invariance , to meet the needs of image retrieval and matching. Background technique [0002] 83% of the information obtained by human beings comes from vision, 11% from hearing, and others from smell, touch and taste, and people accept the rich information conveyed by images most fully and retain the longest memory time. Although images are all-encompassing and diverse, people can generally instinctively analyze the content structure of images and make use of them. In the fields of biomedicine, security, criminal investigation, graphic design, and media entertainment, people have subtly used The content correlation between image sets is used to assist image ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06T7/00
CPCG06F16/5838
Inventor 郝爱民安心怡李帅王莉莉
Owner BEIHANG UNIV
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