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Design patent image retrieval method with multi-characteristics fusion

A design patent, multi-feature fusion technology, applied in computing, computer parts, special data processing applications, etc., can solve the problem of insufficient feature expression, affecting system retrieval performance, etc.

Inactive Publication Date: 2010-09-29
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing image retrieval methods for appearance patents, most of the shape features only consider a single feature. The Hu invariant moment used in "Retrieval Method" only describes the regional shape characteristics of the image, and the feature expression is not comprehensive enough, which greatly affects the system retrieval performance

Method used

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  • Design patent image retrieval method with multi-characteristics fusion
  • Design patent image retrieval method with multi-characteristics fusion
  • Design patent image retrieval method with multi-characteristics fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0089] 1. Pre-process all images, establish an image database of design patents, and create an index for the image database.

[0090] (1) Normalize the size of the image, the width is a fixed value of 200, and the height follows the aspect ratio of the object in the image;

[0091] (2) Carry out image denoising with median filter algorithm;

[0092] (3) Using a multi-threshold image segmentation algorithm to remove the background;

[0093] 2. Calculate the aspect ratio L and circularity R of the design patent from the image as simple geometric features.

[0094] (1) Aspect ratio: L=Height / Width; Height represents the height of the object in the image, and Width represents the width of the object;

[0095] (2) Circularity: R=4∏*S / (B*L); where S represents the area of ​​the object in the image, B represents the perimeter of the area; L is the aspect ratio of the object;

[0096] 3. Use the canny operator to perform edge detection on the image to obtain the boundary of the ima...

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Abstract

The invention discloses a design patent image retrieval method with multi-characteristic fusion. The method comprises the steps: according to the characteristics of the design patent image, designing a characteristic extracting method and the process of image retrieval; in the aspect of characteristic extraction, adopting a method for fusing the whole characteristics and local characteristics, and adopting a boundary direction histogram algorithm and structural characteristics to describe the shape characteristics; adopting a Gabor filter algorithm and a blocking characteristic statistical method to extract textural characteristics, and in the process of image retrieval, firstly adopting geometrical characteristics for comparison, and screening the images according to threshold values; and secondly using the shape characteristics and the textural characteristics to carry out similarity matching, and sorting and returning the images according to the size of similarity. The invention provides the design patent image retrieval method with high efficiency and high accuracy by extraction of wholly and locally more comprehensive characteristics of the design patent images and step screening in the retrieval process.

Description

technical field [0001] The invention relates to a multi-feature fused appearance design patent image retrieval method. Background technique [0002] Nowadays, with the increasing protection of design patent intellectual property rights in various countries, design patent retrieval technology has also received extensive attention and rapid development. Using content-based image retrieval technology to design a high-precision, fast-response design patent image retrieval system can not only realize design patent queries, but also help users obtain specified patent information and reduce imitation disputes, which is crucial to the realization of real modernization It plays a very important role in managing and enhancing the international competitiveness of enterprises. [0003] The content-based image retrieval technology retrieves the image input by the user in a large image set by extracting the features that the user is interested in in the image, including some visual featu...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/46G06K9/64
Inventor 蔡念张国宏戴青云潘晴曹江中
Owner GUANGDONG UNIV OF TECH
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