Method and system for obtaining image local features
What is AI technical title?
AI technical title is built by Patsnap AI team. It summarizes the technical point description of the patent document.
A local feature and image acquisition technology, which is applied in computer parts, instruments, character and pattern recognition, etc., can solve the problems of complex image local feature extraction methods and incomplete reflection of image local characteristics.
Active Publication Date: 2015-01-28
SUZHOU KEDA TECH
View PDF3 Cites 5 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0004] For this reason, the technical problem to be solved by the present invention is that the image local feature extraction method in the prior art is too complicated or cannot fully reflect the local characteristics of the image, so a method for obtaining image local features that is simple and can fully reflect the local features is proposed. method and system
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0078] This embodiment provides a method for obtaining local features of an image, such as figure 1 shown, including the following steps:
[0079] S1: Get the image to be processed, which is the current input image.
[0080] S2: Determine at least one rectangular image block in the image to be processed.
[0081] In this embodiment, a rectangular image block is determined in the image to be processed, the central pixel coordinates of the rectangular image block are (p, q), the size of the rectangular image block is A×B, and A and B satisfy The following conditions:
[0082]
[0083] Wherein A is the height of the rectangular image block, B is the width of the rectangular image block, s is a scale factor, and s is an integer not less than 1.
[0084] S3: Divide the rectangular image block into multiple rectangular sub-image blocks.
[0085] Divide the rectangular image block into 2 m The same rectangular sub-image block Isub(i), i=1~2 m , i is an integer, m is an integ...
Embodiment 2
[0134] This embodiment provides a system for acquiring local features of an image, such as Figure 5 shown, including:
[0135] The image acquisition module 1 is used to acquire images to be processed.
[0136] The partial image acquisition module 2 is configured to determine at least one rectangular image block in the image to be processed.
[0137] An image block module 3, configured to divide the rectangular image block into a plurality of rectangular sub-image blocks.
[0138] The eigenvector component acquisition module 4 is used to calculate the eigenvector components at different scales for each rectangular sub-image block.
[0139] The image local feature vector acquisition module 5 is used to arrange all the feature vector components to obtain the image local feature vector.
[0140] The size of the rectangular image block in the local image acquisition module 2 is A×B, and A and B satisfy the following conditions:
[0141]
[0142] Wherein A is the height of t...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
PUM
Login to View More
Abstract
The invention provides a method and system for obtaining image local features. At least one rectangular image block is determined after an image to be processed is obtained, then the rectangular image block is segmented into multiple rectangular sub-image blocks, feature vector components of each rectangular sub-image block in different scales are calculated, and all the obtained feature vector components are sequenced to obtain final image local feature vectors. Multi-scale segmented image local feature analysis and extraction are adopted, the obtained image local feature vectors have high anti-noise performance and robustness to scale transform, and the method is simple and can completely present the image local features. When the feature vector components are calculated, the feature vector components are divided by the average gray value of the local rectangular image block, and the finally obtained image local feature vectors have certain illumination change resistance. The whole calculation process is simple, and the method is suitable for being used for processing of real-time video images.
Description
technical field [0001] The invention relates to the technical field of digital image, that is, video processing, and in particular to a method and system for acquiring local features of an image. Background technique [0002] In a variety of multimediaprocessing systems involving display devices, the analysis and extraction of local features of images play an important role in a series of algorithms and technologies such as motion estimation, noise reduction, super-resolution reconstruction, fusion, moving object tracking, and stereo vision of images and videos. play a decisive role. Compared with the overall features of the image, the local features of the image mark the important areas in the image, and the image information is represented by these areas, which can save the calculation amount of the application while representing the important local information of the image. Image local features have the characteristics of good discrimination, high reproducibility, stron...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to View More 
Login to View More