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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
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  • 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

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Examples

Experimental program
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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...

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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

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Application Information

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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