نتایج جستجو برای: ridge detection

تعداد نتایج: 581625  

Journal: :Pattern Recognition 2001
Xudong Jiang Wei-Yun Yau Wee Ser

This paper presents a minutiae detection procedure based on adaptive tracing the gray-level ridge of the "ngerprint image with piecewise linear lines of di!erent length. The original "ngerprint image is smoothed with an adaptive-oriented smoothing "lter only at some selected points. This will greatly reduce the computational time. Each ridge in the skeleton is labeled with a number so that each...

ژورنال: اندیشه آماری 2017
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‎In this paper a new weighted fuzzy ridge regression method for a given set of crisp input and triangular fuzzy output values is proposed‎. ‎In this regard‎, ‎ridge estimator of fuzzy parameters is obtained for regression model and its prediction error is calculated by using the weighted fuzzy norm of crisp ridge coefficients‎. . ‎To evaluate the proposed regression model‎, ‎we introduce the fu...

1996
Tony Lindeberg

When extracting features from image data, the type of information that can be extracted may be strongly dependent on the scales at which the feature detectors are applied. This article presents a systematic methodology for addressing this problem. A mechanism is presented for automatic selection of scale levels when detecting one-dimensional features, such as edges and ridges. A novel concept o...

2012
Haimao Zhan Shizhong Xu

It is widely believed that both common and rare variants contribute to the risks of common diseases or complex traits and the cumulative effects of multiple rare variants can explain a significant proportion of trait variances. Advances in high-throughput DNA sequencing technologies allow us to genotype rare causal variants and investigate the effects of such rare variants on complex traits. We...

2011
Itay Presiado Jyotsana Lal Eugene Mamontov Alexander I. Kolesnikov Dan Huppert

Fast Proton Hopping Detection in Ice Ih by Quasi-Elastic Neutron Scattering Itay Presiado, Jyotsana Lal, Eugene Mamontov, Alexander I. Kolesnikov, and Dan Huppert* Raymond and Beverly Sackler Faculty of Exact Sciences, School of Chemistry, Tel Aviv University, Tel Aviv 69978, Israel Materials Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, Illinois 60439, United ...

Journal: :Pattern Recognition Letters 2006
Zhixin Shi Venu Govindaraju

A feature extraction method using the chaincode representation of fingerprint ridge contours is presented. The representation allows efficient image quality enhancement and detection of fine minutiae feature points. The direction field is estimated from a set of selected chaincodes. The original gray-scale image is enhanced using a dynamic filtering scheme that takes advantage of the estimated ...

1998
Dongbai Guo

A ridge based speckles segmentation algorithm is proposed for segmenting speckle images and its application in IVUS (intrascular ultrasound) images is studied. An IVUS image may be treated as a height map and its ridges correspond to the center of the speckles. Author proposed a ridge detection algorithm based on the calculation of the maximum ascent direction. The algorithm’s running time is l...

2006
Amaury Nègre H. Tran Nicolas Gourier Daniela Hall Augustin Lux James L. Crowley

We address the problem of determining if a given image region contains people or not, when environmental conditions such as viewpoint, illumination and distance of people from the camera are changing. We develop three generic approaches to discriminate between visual classes: ridge-based structural models, ridge-normalized gradient histograms, and linear auto-associative memories. We then compa...

2011
Tomohiko Ohtsuka

This paper presents a new fingerprint minutiae extraction approach that is based on the analysis of the ridge flux distribution. The considerable processing time taken by the conventional approaches, most of which use the ridge thinning process with a rather large calculation time, is a problem that has recently attracted increased attention. We observe that the features of a ridge curve are ve...

Journal: :International Journal of Multimedia and Ubiquitous Engineering 2015

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