Unlock instant, AI-driven research and patent intelligence for your innovation.

Image analysis method

An image, in-image technology, applied in the field of image analysis, to solve problems such as false alarms

Active Publication Date: 2011-07-27
BRITISH TELECOMM PLC
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Curved boundaries in images that do not contain actual vanishing points can cause false alarms

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 analysis method
  • Image analysis method
  • Image analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] figure 1 An apparatus is shown consisting of a general purpose computer programmed to perform the image analysis according to the first embodiment of the invention. The device has a bus 1 to which a central processing unit 2 , a visual display 3 , a keyboard 4 , a scanner 5 (or other means, not shown) for inputting images and a memory 6 are connected.

[0027] In the memory 6 are stored an operating system 601, a program 602 for performing image analysis, and a storage area 603 for storing images. Stores an image as a two-dimensional array of values, each representing the brightness and / or color components of a picture element within the array.

[0028] The image array consists of picture elements x i =(x i ,y i ), where x i and y i is the horizontal and vertical position of the element within the image. Each element has its own value α=α( x i ). In the case of a monochrome image, this value will be a scalar value, luminance α, or in the case of a color image...

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 relates to an image analysis. An image, represented by an ordered set of elements (xi) each having a value is analyzed in order to detect vanishing points. The method comprises, for each of a plurality of root positions (x0), repeatedly performing the steps of: (i) selecting a first plurality of elements (xi) from the ordered set ; (ii) for each selected element (xi), selecting a second element (ui) such that the selected second element has a vector position relative to the root position that is scaled by a factor ( a) in comparison with the position of the first selected element; (iii) determining whether the selected elements meet a match criterion requiring that the value of each of the first elements is similar to the value of the corresponding second element; and (iv) in the event of a match, updating a similarity score (H) in respect of that root element. Once these scores have been found, they can be examined a part of the image corresponding to a peak value of the similarity score.

Description

technical field [0001] The present invention relates to image analysis, and more particularly to extracting three-dimensional information from two-dimensional images. Background technique [0002] Perspective is present to some degree in all images that reflect 3D information. Parallel lines in a 3D scene are projected to a vanishing point in the image. Localizing vanishing points provides a powerful way to infer 3D structure from 2D images, especially in landscapes or man-made environments. Lutton et al. [1] extract edges and set line segments pointing to vanishing points. This method requires knowledge of camera parameters and has to deal with a large number of very short line segments generated from a particular image. McLean et al. [2] clustered gradient orientations to again detect line structures in images and evaluated the method on two grayscale images. Together with other authors, Shufelt [3] used a Gaussian sphere representation and worked on solving the proble...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06V10/44G06V20/00
CPCG06K9/4604G06T7/00G06K9/00624G06V20/00G06V10/44
Inventor 弗雷德里克·沃里克·迈克·斯腾蒂福特
Owner BRITISH TELECOMM PLC
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com