Recent Issues in Pattern Analysis and Recognition

Ciarp, 2004

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This issue includes several papers on image processing, they are; P1151351311 authored by Gangadhar Tiwari and Debashis Nandi which discusses Secure Image Encryption using Two Dimensional Logistic Map. Paper P1151345302 authored by Gangadhar Tiwari, Debashis Nandi and Madhusudhan Mishra and discusses Non-Invertible Wavelet Domain Watermarking using Hash Function. Paper P1151404314 authored by Suhas Rautmare and Anjali Bhalchandra which presents Bench Marking Higuchi Fractal for CBIR. Paper P1151420328 authored by Basma M.Almezgagi, M. A. Wahby Shala and Hesham N. Elmahdy introduces Improved Iris Verification System, Paper P1151418327 authored by Vishnu Murthy. G, V. Vijaya Kumar and B.V. Ramana Reddy presents Employing Simple Connected Pattern Array Grammar for Generation and Recognition of Connected Patterns on an Image Neighborhood. Paper P1151423331 authored by P.Kiran Kumar Reddy, Vakulabharanam Vijaya Kumar and B.Eswar Reddy discusses Texture Classification Based on Binary Cross Diagonal Shape Descriptor Texture Matrix (BCDSDTM).

This issue (DOI: 10.13140/RG.2.1.4990.4083) includes the following articles; P1150812009 P.Kiran Sree and I Ramesh Babu Face Detection from still and Video Images using Unsupervised Cellular Automata with K means clustering algorithm P1150812003 K. Chougdali and M. Jedra and N. Zahid Fuzzy kernel scatter-difference discriminant analysis for face recognition P1150724001 G. Khaissidi and M. Karoud and H. Tairi and A. Aarab Medical Image Registration using Regions Matching with Invariant Geometrical Moments P1150819004 Vakulabharanam Vijaya Kumar and, U S N Raju and K Chandra Sekaran and V V Krishna A New Method of Texture Classification using various Wavelet Transforms based on Primitive Patterns P1150820002 S. Uma Maheswari and P. Anbalagan and T.Priya Efficient Iris Recognition through Improvement in Iris Segmentation Algorithm P1150803005 Yadav D.M and D. S. Bormane Evaluation of Pure Fractal and Wavelet-Fractal Image Compression Techniques P1150803001 Imed Riadh Farah and Wassim Messaoudi and Karim saheb ettabâa and Basel Solaiman Satellite Image Retrieval Based On Ontology Merging

2000

The pattem recognition group formed by researchers in the IRI-CSIC and the ESAII Dept at the UPC has been created four years ago but its activity is very high participating in research projects, intemational publishing and organizing relevant events such as ICPR'OO.In this paper we show part of this activity.

This work tackles the categorization of general linear radial patterns by means of the valleys and ridges detection and the use of descriptors of directional information, which are provided by steerable filters in different regions of the image. We successfully apply our proposal in the specific case of automatic detection of tonic contractions in video capsule endoscopy, which represent a paradigmatic example of linear radial patterns.

A lot of advancements have been made recently in the field of image processing and pattern analysis. This special issue of IJSDA aims to focus upon the latest developments in theory, methodologies and applications in the highly interdisciplinary research arena of machine vision, image processing and pattern analysis. The theme addresses mathematical, physical, architectural and computational aspects of machine vision, analysis, matching and recognition along with its subsequent connection with Human Vision System (HVS). Further, it is known that computational intelligence serves as a powerful tool to mimic and process human knowledge. The integration of artificial intelligence, soft computing and machine learning adds to various computational enhancements in machine vision and image processing. This special issue consists of the extended version of papers which were initially presented at the Third International Conference on Frontiers in Intelligent Computing: Theory and Applicatio...

This issue (DOI: 10.13140/RG.2.1.2150.856) includes the following articles; P1150847487 B. Nagarajan and P. Balasubramanie Hybrid Feature based Object Classification with Cluttered Background Combining Statistical and Central Moment Textures P1150906627 Rajeev Ratan and Sanjay Sharma and S. K. Sharma Brain Tumor Detection based on Multi-parameter MRI Image Analysis P1150847509 G. Khaissidi and H. Tairi and A. Aarab A fast medical image registration using feature points P1150804003 K. Thangavel and R. Manavalan and I. Laurence Aroquiaraj Removal of Speckle Noise from Ultrasound Medical Image based on Special Filters: Comparative Study P1150846481 C.Lakshmi Deepika and A.Kandaswamy An Algorithm for Improved Accuracy in Unimodal Biometric Systems through Fusion of Multiple Feature Sets P1150905607 Jun Zhang and Jinglu Hu Automatic Segmentation Technique for Color Images

Journal of Real-Time Image Processing, 2014

The overarching goal of the pattern recognition community consists of presenting hypotheses to describe classes of objects using mathematical models, processing the information to eliminate the presence of noise, and selecting the model that best explains the given observations; nevertheless, it does not prioritize in memory and time complexity when matching models to observations. Given that we describe, explain and manipulate these objects through the perceptual system, there is an increasing need to favor those pattern recognition techniques that can explain, process and predict large volumes of visual data in realtime. Such techniques cannot be developed ''in vitro'' due to the physical constraints of the complex environment and the context in which these techniques are used. Further, these new methods need to achieve high detection, classification and recognition accuracies in real-time even when these are conflicting objectives. To make pattern recognition techniques viable for practical applications (such as surveillance, robotics and medical applications), considerations such as computational complexity reduction, hardware implementation, software optimization, and strategies for parallelizing solutions must be observed.

2015

Not many decades ago, Pattern Recognition and Image Analysis (PR&IA) addressed with simple tasks applying shallow models. But things are changing, and quickly. Then, this highly dynamic discipline has been expanding greatly, also helped by the emergence of newer application such as in robotics, biometrics or multimedia systems. Just now, PR&IA tasks run the complete gamut: from preprogramed works to the stimulating challenge of getting computers to learn as they go. At their most formidable, PR&IA tasks require computers to look, interpret and report back. We are at a transition point where PR&AI are suddenly at the forefront. Progress has come about thanks in part to steady advance in the technologies needed to help machines understand visual data, including machine learning and data mining techniques. The papers included in this special issue provide a snapshot of image analysis and pattern recognition research today. They are the very best of the 6th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2013), held on 5-7 June, 2013 in Madeira, Portugal. IbPRIA 2013 attracted 181 papers from 34 different countries. After the reviewing process, 105 papers were accepted for presentation in the conference. A selection of the best scored and presented at the conference was invited to submit to this special issue a substantially extended and revised version of the conference paper and the resulting manuscripts were sent out for full review. The process, including required revisions, was in accordance with the standing editorial policy of Neurocomputing, resulting in the final versions of the ten papers accepted and appearing in this special issue.