Image matching method and mobile phone application test platform

An image and source image technology, applied in image analysis, image data processing, software testing/debugging, etc., can solve problems such as inability to accurately extract feature points, few feature points, and time-consuming calculation of feature points.

Active Publication Date: 2016-04-20
NETEASE (HANGZHOU) NETWORK CO LTD
View PDF4 Cites 50 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But it also has some disadvantages: 1) The real-time performance is not high, and the calculation of feature points is time-consuming;

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
  • Image matching method and mobile phone application test platform
  • Image matching method and mobile phone application test platform
  • Image matching method and mobile phone application test platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0083] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0084] see figure 1 , is a flow chart of the steps of an embodiment of the image matching method provided by the present invention.

[0085] In the present embodiment, the method for image matching includes the following steps:

[0086] Step S101: Perform global template matching on the template image T in the source image S, and control the template image T to slide in the source image S to find the best matching area.

[0087] like figure 2 As shown, it is a schematic diagram of performing global template matching on the template image in the source image provided by the present invention. Wherein, the source image S includes images of a plurality of controls or buttons, which are images 1 to 6 respectively. Control the template image T to slide from the upper left corn...

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

No PUM Login to view more

Abstract

The invention discloses an image matching method comprising the steps of performing global template matching of a template image in a source image, controlling the template image to slide in the source image to find out an optimal matching region; calculating a feature point and a feature vector of the template image and the source image; based on the feature point and the feature vector, calculating the visual similarity between the optimal matching region and the template image; if the visual similarity is zero, determining a mismatch between the optimal matching region and the template image; if the visual similarity is not zero, obtaining feature matching point pairs between the template image and the source image; and calculating a positioning coordinate of the optimal matching image based on the feature matching point pairs. The invention further provides a mobile phone application test platform based on the image matching. The invention can reduce the complexity of a matching algorithm, thereby improving the image matching efficiency and the mobile phone application test efficiency based on the image matching.

Description

technical field [0001] The invention relates to the technical field of mobile phone testing, in particular to a mobile phone application testing platform for an image matching method. Background technique [0002] Image matching refers to identifying points with the same name between two or more images through a certain matching algorithm. The window center point corresponding to the maximum is used as the point with the same name. [0003] In order to realize the image-based automatic test function, the first thing to solve is how to accurately identify the same or similar images from the test images (such as images captured from mobile games) in the case of a given image, that is, the image matching problem. . After the image position is recognized, it is sent to various terminals for automatic testing. For example, according to the recognized image position, it is sent to the mobile phone to realize the simulated click, so as to realize the simulated operation of the m...

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
no application Login to view more
IPC IPC(8): G06T7/00G06F11/36
CPCG06F11/36G06T7/00
Inventor 孙圣翔刘欣熊博
Owner NETEASE (HANGZHOU) NETWORK CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap