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Distance transform

About: Distance transform is a research topic. Over the lifetime, 2886 publications have been published within this topic receiving 59481 citations.


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Patent
21 Aug 2006
TL;DR: In this paper, a sight support device capable of displaying a synthesized bird's-eye view image more suitable for grasping the situation of the periphery, or the like of a vehicle is presented.
Abstract: PROBLEM TO BE SOLVED: To provide a sight support device capable of displaying a synthesized bird's-eye view image more suitable for grasping the situation of the periphery, or the like of a vehicle. SOLUTION: Each captured image from front and side cameras installed at the front and left sides of the vehicle, respectively, is converted to a bird's-eye view image for displaying the composite bird's-eye view image, where respective bird's-eye view images are synthesized. For a common region where both the bird's-eye view images are overlapped, the differential image 113 between an image 112 of the front camera and an image 111 of the side one is generated for detecting a differential region 123 in which a solid object is represented. Based on the position of each pixel for forming the differential region 123, it is evaluated which of the front and side cameras captures the solid image satisfactorily. Based on an image captured by one camera, the image of the common region in the composite bird's-eye view image is formed. COPYRIGHT: (C)2008,JPO&INPIT

22 citations

Patent
06 Aug 1999
TL;DR: In this article, the distance image is vertically divided into small areas in the shape of strip in an arithmetic unit and the area inside the divided small area is extracted as an object candidate area and when object candidate areas continuously exist, they are judged as one object candidate range so that a range where the object exists, can be recognized.
Abstract: PROBLEM TO BE SOLVED: To provide a surrounding environment recognizing device capable of always exactly detecting an object in front without being affected by the color or size of the object. SOLUTION: Distance information detected by a laser range finder 1 is stored in a distance image memory 2 as a distance image in the arrangement of digital values, the distance image is vertically divided into small areas in the shape of strip in an arithmetic unit 4, an area, for which a vertical distance value is fixed and the value of correlation with a predetermined road model is less than a prescribed value concerning a relation between the distance and the vertical position of the distance image, in the distance image inside the divided small area is extracted as an object candidate area and when object candidate areas continuously exist, they are judged as one object candidate range so that a range, where the object exists, can be recognized. Therefore, since this device does not depend on the information of an edge as conventional one, the surrounding environment can be recognized without being affected by the color of the background or object.

22 citations

Patent
17 Aug 2010
TL;DR: In this paper, an optical digital camera is used to produce information representative of a specified geometric distance within the image by means of optical protection using laser light in the detection range of the camera.
Abstract: The invention relates to an image processing system, containing an optical digital camera (1) having means (4) that produce information representative of a specified geometric distance within the image by means of optical protection using laser light in the detection range of the optical digital camera (1), said information representative of the specified geometric distance being processed together with the image information. Separating means (8) are arranged downstream of the digital camera, said separating means separating the information representative of the specified geometric distance from the image information. Subsequent evaluating means produce a distance value therefrom. Image storage means (9) additionally arranged downstream of the separating means are used to store the recorded image information. Adjustment means (14) automatically change the image size on a screen in the form of a digital zoom for the purpose of setting the reproduction size according to a specified scale factor in such a way that an object contained in the image content, the physical dimension of which object corresponds to the specified geometric distance, is reproduced in a corresponding dimension that is multiplied by the specified scale factor.

22 citations

Journal ArticleDOI
TL;DR: A region-based image fusion algorithm based on the fact that multi-focus images contain compensatory focused regions that can be selected to create a merged image that facilitates accurate detection of fiber edges in a nonwoven structure is presented.
Abstract: The multifocal phenomenon is a common problem when viewing a thick nonwoven sample under a light microscope. Multi-focus image fusion is a technique used to combine a series of partially focused images of the same scene into one fully focused image, and permits the accurate measurement of object features within the scene. This paper presents a region-based image fusion algorithm based on the fact that multi-focus images contain compensatory focused regions that can be selected to create a merged image. The process starts with the selection of a few reliable points with the highest local sharpness values and where there is coherent edge information (object features). Regions are then formed through diffusion or expansion of these selected source points. The final coupled boundaries among the diffusing sources are determined using the distance transform. Once the new image is divided into a number of regions, each region is filled with the corresponding region selected from one of the multi-focus images tha...

22 citations

Journal Article
TL;DR: An original adaptation of the Radon transform is presented which gives rise to a representation which has a nice behavior with respect to common geometrical transformations.
Abstract: This paper presents a novel approach to normalize binary shapes which is based on the Radon transform. The key idea of the paper is an original adaptation of the Radon transform. The binary shape is projected in Radon space for different levels of the (3-4) distance transform. This decomposition gives rise to a representation which has a nice Behavior with respect to common geometrical transformations. The accuracy and the efficiency of the proposed algorithm in the presence of a variety of transformations is demonstrated within a shape recognition process.

22 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20235
202217
202161
202099
2019112
201881