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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.


Papers
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Patent
23 Sep 1998
TL;DR: In this paper, a distance information generator consisting of an image sensor which senses an object, a distance detector which detects a first distance between a predetermined position and the object, and a memory which stores position information expressing a mutual positional relationship of the predetermined position of the image sensor and the position of an object is presented.
Abstract: A distance information generator comprises an image sensor which senses an object, a distance detector which detects a first distance between a predetermined position and the object, a memory which stores position information expressing a mutual positional relationship of the predetermined position and the position of the image sensor, and a calculator which calculates a second distance between the position of the image sensor and the object based on the first distance and the position information. A display device displays a composite image which consists of a sensed image and a virtual image for an observer, wherein the composite image is created by comparing the second distance and distance information involved in the virtual image.

35 citations

Book ChapterDOI
Rui Liao1, Yunhao Tan2, Hari Sundar1, Marcus Dr. Pfister1, Ali Kamen1 
19 Sep 2010
TL;DR: An automatic, accurate and efficient deformable 2D/3D registration method that is formulated on a 3D graph and applied for abdominal aortic aneurysm interventions and achieved an average error of > 1mm within 0.1s.
Abstract: 2D/3D registration is in general a challenging task due to its ill-posed nature. It becomes even more difficult when deformation between the 3D volume and 2D images needs to be recovered. This paper presents an automatic, accurate and efficient deformable 2D/3D registration method that is formulated on a 3D graph and applied for abdominal aortic aneurysm (AAA) interventions. The proposed method takes the 3D graph generated from a segmentation of the CT volume and the 2D distance map calculated from the 2D X-ray image as the input. The similarity measure consists of a difference measure, a length preservation term and a smoothness regularization term, all of which are defined and efficiently calculated on the graph. A hierarchical registration scheme is further designed specific to the anatomy of abdominal aorta and typical deformations observed during AAA cases. The method was validated using both phantom and clinical datasets, and achieved an average error of > 1mm within 0.1s. The proposed method is of general form and has the potential to be applied for a wide range of applications requiring efficient 2D/3D registration of vascular structures.

34 citations

Book ChapterDOI
01 Jan 2013
TL;DR: In this paper, the authors developed a new workflow from image acquisition to numerical simulation for the asphalt concrete microstructures, which is used to determine the phase volumetric relationship and aggregates characteristics.
Abstract: In this paper, detailed study is carried out to develop a new workflow from image acquisition to numerical simulation for the asphalt concrete microstructures. High resolution computed tomography scanned images are acquired and the image quality is improved using digital image processing techniques. Nonuniform illumination is corrected by applying an illumination profile to correct the background and flat-fields in the image. Distance map based watershed segmentation are used to segment the phases and separate the aggregates. Quantitative analysis of the micro-structure is used to determine the phase volumetric relationship and aggregates characteristics. The result of the quantitative analysis showed a very high level of reliability. Finite Element simulations were carried out with the developed micro-mechanical meshes to capture the strength and deformation mechanisms of the asphalt concrete micro-structure. From the micro-mechanical investigation the load transfer chains, higher strength characteristics and high stress localization at the mastic interface between adjacent aggregates was shown.

34 citations

Journal Article
TL;DR: Physiological features are extracted from thermal images in order to build a unique thermal faceprint and a distance transform is used to get an invariant representation for face recognition.
Abstract: In this work we present an efficient approach for face recognition in the infrared spectrum. In the proposed approach physiological features are extracted from thermal images in order to build a unique thermal faceprint. Then, a distance transform is used to get an invariant representation for face recognition. The obtained physiological features are related to the distribution of blood vessels under the face skin. This blood network is unique to each individual and can be used in infrared face recognition. The obtained results are promising and show the effectiveness of the proposed scheme. Keywords—Face recognition, biometrics, infrared imaging. I. INTRODUCTION

34 citations

Journal ArticleDOI
TL;DR: This paper shows how a simple label propagation technique, in conjunction with some novel ideas about how labels can be applied to an image to express semantic knowledge, leads to the simplification of a number of diverse and difficult image analysis tasks.

34 citations


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