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.
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Published Online: Infrared Contrast Enhancement Through Log-Power Histogram Modification
JPRR Article #617
A simple power-logarithm histogram modification operator is proposed to enhance infrared (IR) image contrast. The algorithm combines a logarithm operator that smoothes the input image histogram while retaining the relative ordering of the original bins, with a power operator that restores the smoothed histogram to an approximation of the original input histogram. Contrast enhancement is achieved by using the cumulative distribution function of the resulting histogram in a standard lookup table based histogram equalization procedure. The method is simple and independent of image content, and (unlike most existing contrast enhancement algorithms) does not suffer from the occurrence of artifacts, over-enhancement and unnatural effects in the processed images. The method can be applied both in a direct (DPL) and in an iterative (IPL) mode. Objective (computational) and subjective (visual) evaluation studies using a wide range of different IR input images showed that DPL and IPL both significantly enhance image contrast while retaining the overall image structure and preserving the perceptibility of small details and targets. DPL retains image structure slightly better than IPL, while IPL enhances contrast slightly more than DPL. Experimental results proved that the proposed method is a robust and efficient technique for effective IR image contrast enhancement.
Vol 10, No 1 (2015)
Applications
IR Contrast Enhancement Through Log-Power Histogram Modification 1-23
A simple power-logarithm histogram modification operator is proposed to enhance IR image contrast. The algorithm combines a logarithm operator that smoothes the input image histogram while retaining the relative ordering of the original bins, with a power operator that restores the smoothed histogram to an approximation of the original input histogram.
JPRR Vol 10, No 1 (2015); doi:10.13176/11.617
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
Minimum Manifold-Based Within-Class Scatter Support Vector Machine 79-89
Although Support Vector Machine (SVM) is widely used in practice, it only takes the boundary information between classes into consideration while neglects the data distribution, which seriously limits the classification efficiency.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.565
Randomized Algorithm for Approximate Nearest Neighbor Search in High Dimensions 111-122
A randomized algorithm employs a degree of randomness as part of its logic with uniform random bits as an auxiliary input to guide its behavior, in the hope of achieving good average runtime performance over all possible choices of the random bits.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.599
Applications
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
Virtual DMA Municipal Water Supply Pipeline Leak Detection and Classification Using Advance Pattern Recognizer Multi-Class SVM 25-42
In this paper we investigated and analyzed the concept of virtual DMA as the core objective of the research to resolve the current Gap and limitations of the DMA state of practice through the development of Virtual DMA Leakage Monitoring and Classification System Using Multi-class Support Vector Machine (SVM) Advanced Pattern Recognizer at Lille University WDS study area the so called “Zone-6”.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.548
Machine Learning Based Acoustic/IR Monitoring 43-49
Chiropteran monitoring has become an important public concern given that wind turbines pose the threat of injury or death to bats through direct impact or barotraumas.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.594
Techniques in Pattern Recognition for School Bullying Prevention: Review and Outlook 50-63
School bullying is a serious problem among teenagers. With the development of sensor technology and pattern recognition algorithms, several approaches for detecting school bullying have been developed, namely speech emotion recognition, mental stress recog- nition, and activity recognition.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.586
DEMD-Based Image Compression Scheme in a Compressive Sensing Framework 64-78
Efficient representation of the background texture in video image frames, motivates compression strategies based on good perceptual reconstruction quality, instead of just bit-accurate reconstruction.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.580
2-D Shapes Description by Using Features Based on the Differential Turning Angle Scalogram 90-110
A 2-D shape description using the turning angle (or tangential angle) is presented . This representation is based on a scalogram obtained from a progressive filtering of a planar closed contour of an object.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.571
A Body Part Segmentation System for Human Activity Recognition in Videos 123-137
Identification of body parts is an important first step for many tasks such as action recognition in automatic surveillance systems.
JPRR Vol 9, No 1 (2014); doi:10.13176/11.611