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Journal ArticleDOI

Simultaneous multiple site arteriolar vasomotion measurement using digital image analysis.

TLDR
An automatic digital image processing technique for simultaneous vasomotion analysis in peripheral microcirculation at multiple sites and in real time is presented.
About
This article is published in Microvascular Research.The article was published on 1991-01-01. It has received 17 citations till now. The article focuses on the topics: Digital image processing & Digital image.

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Citations
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Journal ArticleDOI

Measurement of meningeal blood vessel diameter in vivo with a plug-in for ImageJ

TL;DR: An approach with a CCD camera for image acquisition combined with free and open source ImageJ software for offline analysis allows the user to quickly evaluate vessel diameter changes in the whole acquired field at any selected position.
Journal ArticleDOI

Automatic extraction and measurement of leukocyte motion in microvessels using spatiotemporal image analysis

TL;DR: This paper describes a computer vision system for the automatic extraction and velocity measurement of moving leukocytes that adhere to microvessel walls from a sequence of images and shows experimentally that the proposed method can stably extract leukocyte motion.
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Detection of leukocytes in contact with the vessel wall from in vivo microscope recordings using a neural network

TL;DR: Experiments indicate that neural networks trained with the synthetic leukocyte images perform better than networks training with images of manually detected leukocytes.
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In‐vivo analysis of angiogenesis and revascularization of transplanted pancreatic islets using confocal microscopy

TL;DR: In‐vivo imaging of the microcirculation of transplanted pancreatic islets was conducted using a confocal scanning laser microscope (CSLM) to achieve optical sectioning through the graft in order to perform a computer reconstruction of the three‐dimensional neovascular morphology.
References
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On edge detection

TL;DR: It is shown that numerical differentiation of images is an ill-posed problem in the sense of Hadamard, and that this part of edge detection consists of two steps, a filtering step and a differentiation step.
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Structure from stereo-a review

TL;DR: Broad categories of stereo algorithms are identified on the basis of differences in imaging geometry, matching primitives, and the computational structure used for the extraction of the 3D structure of a scene.
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On Edge Detection

TL;DR: In this paper, the authors consider the edge detection problem as a numerical differentiation problem and show that numerical differentiation of images is an ill-posed problem in the sense of Hadamard.
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Quantitative design and evaluation of enhancement/thresholding edge detectors

TL;DR: Theoretical and experimental comparisons of edge detectors are presented and quantitative design and performance evaluation techniques developed are used to optimally design a variety of small and large mask edge detectors.
Journal ArticleDOI

Detection of Intensity Changes with Subpixel Accuracy Using Laplacian-Gaussian Masks

TL;DR: A system that takes a gray level image as input, locates edges with subpixel accuracy, and links them into lines and notes that the zero-crossings obtained from the full resolution image using a space constant ¿ for the Gaussian, are very similar, but the processing times are very different.
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