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Journal ArticleDOI

Fast radial symmetry for detecting points of interest

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TLDR
A new transform is presented that utilizes local radial symmetry to highlight points of interest within a scene and is seen to offer equal or superior performance to contemporary techniques at a relatively low-computational cost.
Abstract
A new transform is presented that utilizes local radial symmetry to highlight points of interest within a scene. Its low-computational complexity and fast runtimes makes this method well-suited for real-time vision applications. The performance of the transform is demonstrated on a wide variety of images and compared with leading techniques from the literature. Both as a facial feature detector and as a generic region of interest detector the new transform is seen to offer equal or superior performance to contemporary techniques at a relatively low-computational cost. A real-time implementation of the transform is presented running at over 60 frames per second on a standard Pentium III PC.

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Citations
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Proceedings ArticleDOI

Retrieving clinically relevant diabetic retinopathy images using a multi-class multiple-instance framework

TL;DR: A multi-class multiple-instance image retrieval framework is proposed which deploys a modified color correlogram and statistics of steerable Gaussian Filter responses, for retrieving clinically relevant images from a database of DR fundus image database.
Posted ContentDOI

Direct measurements of mRNA translation kinetics in living cells

TL;DR: A live-cell ribosome-labeling method is developed, which allows the whole processes of finding an mRNA and translating it, using single-molecule tracking techniques, and suggests that other mRNA elements than the SD sequence play major roles in directing the ribosomes to the correct translation start sites.
Journal ArticleDOI

An Automatic Framework to Create Patient-specific Eye Models From 3D Magnetic Resonance Images for Treatment Selection in Patients With Uveal Melanoma.

TL;DR: An automatic image-processing framework to create patient-specific eye models and to determine the full 3D tumor shape and size automatically is developed and may have a direct effect on clinical workflow, as it enables an accurate 3D assessment of tumor dimensions, which directly influences therapy selection.
Patent

Eye sight evaluation method and device

Huang Lei, +1 more
TL;DR: In this article, an eye sight evaluation method and a device are presented, which simplify the calibration process and improve the accuracy of an eye-sight evaluation device, which comprises steps of acquiring a current image of a user, acquiring the current image and the coordinates of key points of eyes of the current images in the current current image, acquiring sight characteristics possessing user invariability, using the eye sight characteristics with the user-invariability as a input parameter, evaluating the parameters of a statistic module according to the prestored sight of each training viewpoint.
Proceedings ArticleDOI

Isocentric color saliency in images

TL;DR: The proposed approach to infer visual saliency in images is fast, does not require any learning and the experimentation shows that it can enhance interesting objects in images, improving the state of the art performance on a public dataset.
References
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Journal ArticleDOI

Use of the Hough transformation to detect lines and curves in pictures

TL;DR: It is pointed out that the use of angle-radius rather than slope-intercept parameters simplifies the computation further, and how the method can be used for more general curve fitting.

Image Features From Phase Congruency

Peter Kovesi
TL;DR: Videre: Journal of Computer Vision Research is a quarterly journal published electronically on the Internet by The MIT Press, Cambridge, Massachusetts, 02142 and prices subject to change without notice.
Journal ArticleDOI

Finding circles by an array of accumulators

TL;DR: This procedure is an extension and improvement of the circle-finding concept sketched by Duda and Hart as an extension of the Hough straight-line finder.
Journal ArticleDOI

Algorithms for defining visual regions-of-interest: comparison with eye fixations

TL;DR: This paper investigates and develops a methodology that serves to automatically identify a subset of aROIs (algorithmically detected ROIs) using different image processing algorithms (IPAs), and appropriate clustering procedures, and compares hROIs with hROI as a criterion for evaluating and selecting bottom-up, context-free algorithms.
Journal ArticleDOI

Context-free attentional operators: the generalized symmetry transform

TL;DR: An attention operator based on the intuitive notion of symmetry, which generalized many of the existing methods of detecting regions of interest is presented, a low-level operator that can be applied successfully without a priori knowledge of the world.