The Journal of Pattern Recognition Research (JPRR) provides an international forum for the electronic publication of high-quality research and industrial experience articles in all areas of pattern recognition, machine learning, and artificial intelligence. JPRR is committed to rigorous yet rapid reviewing. Final versions are published electronically
(ISSN 1558-884X) immediately upon acceptance.
Published Online: Direct Inverse Randomized Hough Transform for Incomplete Ellipse Detection in Noisy Images
JPRR Article #512
A direct inverse randomized Hough transform (DIRHT) is developed as a pre-processing procedure for incomplete ellipse detection in images with strong noise. A sample of five pixels is randomly drawn to solve for a set of five ellipse parameters. If there is a valid solution, a direct inverse transform maps the ellipse instance into a complete ellipse trace in an inverse image, by incrementing the intensities of all pixels on the ellipse. This process is repeated until sufficiently large number of valid samples is drawn. The DIRHT combines the advantages of both the inverse Hough transform and the randomized Hough transform (RHT), resulting in a number of desirable features. The intensities of all pixels on the underlying, complete ellipse trace were incremented so that the missing parts of the ellipse are restored. The DIRHT enhances the target ellipse by eliminating invalid samples (i.e. unrelated noise), and by restoring its missing parts. It converts a pixel-location classification problem into a pixel-intensity classification problem, which is essentially an image segmentation problem. This allows exclusion of noise pixels by using existing gray-level image segmentation techniques. These characteristics are demonstrated with both synthesized images and medical ultrasound images. Because the ellipse-restoration and ellipse-enhancement features, the DIRHT provides robustness against noise interference as a pre-processing procedure to RHT for incomplete ellipse detection. The final identified ellipses are highly accurate for both synthesized images and medical ultrasound images. Read Article
Jianmin Gong joins JPRR as an Associate Editor
Dr. GongDr. Jianmin  Gong Huawei Technologies
Dr. Jianmin Gong received his Ph.D. degree in photonics from Tsinghua University, Beijing, China in 2002. After graduation, he has worked as research faculty in the Optical Sciences & Engineering Research Center at Virginia Tech, the Department of Biomedical Engineering at Northwestern University, and the Center for Photonics Technology at Virginia Tech. He is now Chief Engineer of optical access network, Huawei Technologies Inc. Gong is an author of over 40 peer-reviewed papers concerning sensors and telecommunications, and inventor of 5 patents.
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Vol 9, No 1 (2014)
Pattern Recognition Theory
Speed-Up Template Matching Through Integral Image Based Weak Classifiers 1-12
Template matching is a widely used pattern recognition method, especially in industrial inspection. However, the computational costs of traditional template matching increase dramatically with both template-and scene imagesize.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.516
Direct Inverse Randomized Hough Transform for Incomplete Ellipse Detection in Noisy Images 13-24
A direct inverse randomized Hough transform (DIRHT) is developed as a pre-processing procedure for incomplete ellipse detection in images with strong noise.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.512
Vol 8, No 1 (2013)
Pattern Recognition Theory
On the Analogy of Classifier Ensembles With Primary Classifiers: Statistical Performance and Optimality 98-122
The question of how we can exploit the ability to combine different learning entities is fundamental to the core of automated pattern analysis and dictates contemporary research efforts in the field of decision fusion.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.497
A System for Handwritten Script Identification From Indian Document 1-12
In a country like India a number of scripts (a total of 13) are used to write different official languages (a total of 23). For development of Optical Character Recognizer (OCR) for a particular language, the script by which the document is written is to be identified first.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.485
Kernel Non-Negative Matrix Factorization for Seismic Signature Separation 13-25
A supervised learning algorithm for the separation of seismic sources in a single channel is presented. The proposed algorithm employs non-negative matrix factorization (NMF) technique in the feature space, called Kernel NMF (KNMF).
JPRR Vol 8, No 1 (2013); doi:10.13176/11.463
Stereo Disparity and Optical Flow Fusion by Geometric Relationship and an Efficient Recursive Algorithm 26-38
We suggest a relationship, called stereo-motion equation, between stereo disparity and optical flow, and a recursive filter, as an efficient algorithm to estimate the two quantities.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.210
Capped K-NN Editing in Definition Lacking Environments 39-58
While any input may be contributing, imprecise specification of class of data subdivided into classes identifies as rather common a source of noise.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.465
CUES: A New Hierarchical Approach for Document Clustering 66-84
Objective of the document clustering techniques is to assemble similar documents and segregate dissimilar documents. Unlike document classification, no labeled documents are provided in document clustering.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.459
An Image Visual Quality Assessment Method Based on SIFT Features 85-97
There are a number of distortions in image acquisition, processing, compression, storage, transmission, and reproduction. Existing image metrics provide a good judgement on these image distortions.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.511
Dismount Detection Using Kernel Sparse Representation 123-131
This paper describes a new application of kernel sparse detection technique for hyperspectral imagery (HSI) in conjunction with a sequential forward feature selection (SFFS) scheme that reduces the dimensionality to a tractable volume.
JPRR Vol 8, No 1 (2013); doi:10.13176/11.528
Short Letters
Some Features of the Users' Activities in the Mobile Telephone Network 59-65
JPRR Vol 8, No 1 (2013); doi:10.13176/11.517