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检索条件"任意字段=Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing"

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Edge detection using scale space knowledge

Edge detection using scale space knowledge

引用

IEEE Region 10 International conference TENCON

作者： A. Kulkarni R. Shevgaonkar S.C. Sahasrabudhe Department of Electrical Engineering Indian Institute of Technology Bombay India

Edge detection has acquired enormous importance in computer vision research: gaussian filter has been widely used in the past to accomplish this task. Although the gaussian filter has nice scaling behaviour and is computationally elegant, it suffers from the disadvantage of delocalisation of edges when operated at higher scales. Multi-scale processing of an image is thus required. In this paper, the process of edge detection has been looked upon as a reasoning problem. In the past, knowledge handling and reasoning have been attributed to high level vision routines, but from the results presented here, it can be argued that reasoning does play an important role in the process of edge detection. The knowledge base required for this is formed out of the theory of scale space. Particular emphasis is laid on the behaviour of delocalised, missing and false or spurious edges in the scale space. The scale space is formed by operating the LoG filter of different sizes on the input image. The dissimilarity among the zero crossings is measured across the scales. It is useful in the removal of false edges. A compatibility measure relates the zero-crossing contour with the current scale parameter, /spl sigma/. The rules are coded in NEXPERT OBJECT 2.0. The results are compared with Canny's multiple edge detection algorithm (J.F. Canny, 1986).< >

关键词： image edge detection Low pass filters image representation Space technology computer vision Band pass filters Smoothing methods Current measurement Layout image analysis

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An efficient approach to compute fractal dimension in texture image

An efficient approach to compute fractal dimension in textur...

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International conference on Pattern Recognition

作者： B.B. Chaudhuri N. Sarkar Electronics and Communication Sciences Unit Indian Statistical Institute Calcutta India

Fractal dimension is a feature used to characterize roughness and self-similarity in a picture. This feature is used in texture segmentation and classification, shape analysis and other problems. An efficient differen... 详细信息

关键词： Fractals Surface fitting Least squares methods Strips Shape image processing computer vision Equations Least squares approximation

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Man computer interaction by speech and vision

Man computer interaction by speech and vision

引用

1991 IEEE Region 10 International conference on EC3-Energy, computer, Communication and Control Systems, TENCON 1991

作者： Majumder, Dwijesh Dutta Electronics and Communication Sciencs Unit Indian-Statistical Institute 203 B.T. Road Calcutta700 035 India

During the past few years researchers are engaged in topics at the intersection of Artificial Intelligence, Pattern Recognition, Cognitive Psychology, Speech processing, image processing, Speech Recognition and computer vision. This is particularly so after the Japanese announcement about the specifications of their decade long programme of Fifth Generation computer Systems (FGCS), in 1980. In designing a system for the purposes mentioned above, one has the experience that patterns acquired from the real world are characterized by a large variability from an instance to another, due to the almost infinite number of possible differences which can occur between the abstract description of an object and its physical existence. Moreover, noise in speech and visual pattern acquisition and errors in signal processing contribute to make the classification task even more difficult. Our objective is to develop a domain independent methodology for a knowledge based approach for applications in systems for the interpretation of complex patterns such as remotely sensed images of natural scenes or unrestricted unlimited natural speech including knowledge use and acquisition, which requires an unified approach of pattern recognition, image processing, computer vision and artificial intelligence for mancomputer interaction by speech and vision. © 1991 IEEE.

关键词： computer vision

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Knowledge representation for vision: an associative network for single object representation and recognition

Knowledge representation for vision: an associative network ...

引用

International conference on Pattern Recognition

作者： S. Basu A. Gupta N. Sarkar D.D. Majumder Techno Macbintel Private Limited Calcutta India National Centre for Knowledge Based Computing Indian Statistical Institute ECSU Calcutta India

VIKNET (visual knowledge network), an extension of associative networks that is specifically designed for knowledge representation for recognition of 3-D objects, is introduced. The design criteria, largely influenced by early vision processing, are discussed. VIKNET is formally described as an algebraic structure, with network functions defined on it. The input image, also in the form of a network, is recognized by a partial matching algorithm. A completely worked out example demonstrates the efficacy of the scheme even for shapes subjected to viewing angle transforms.< >

关键词： Knowledge representation Shape computer networks Transfer functions image recognition Feature extraction Layout Color

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Object extraction from image using higher order entropy

Object extraction from image using higher order entropy

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International conference on Pattern Recognition

作者： S.K. Pal N.R. Pal Electronics & Communication Sciences Unit Indian Statistical Institute Calcutta India Computer Sciences Unit Indian Statistical Institute Calcutta India

Entropy of order q (depending on the information contained in a sequence of gray levels of length q) and conditional entropy of an image are defined. Using these definitions, two algorithms are formulated and implemented with the help of its co-occurrence matrix. Their superiority for image thresholding (object-background classification) is established.< >

关键词： Entropy Signal processing algorithms image segmentation Histograms Classification algorithms Propellers computer vision graphics

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MANUFACTURING METROLOGY PRESENT STATUS - FUTURE PROSPECTS.

MANUFACTURING METROLOGY PRESENT STATUS - FUTURE PROSPECTS.

引用

Emerging Trends in Manufacturing: proceedings of the 12th All India Machine Tool Design and Research conference.

作者： Radhakrishnan, V. Indian Inst of Technology Madras India Indian Inst of Technology Madras India

ISBN: (纸本)007451623X

The introduction of metrology in engineering opened out new avenues and today this is an established and expanding field of engineering. From a modest beginning of simple inspection of parts to ensure quality, today it has grown into a vast field of specialised technology. Indications are that there is more to come in this field with the introduction of high precision and automation in manufacture. Due to the significant role played by metrology in present day manufacture, the term Manufacturing Metrology sounds more appropriate than any of the terms previously used. New areas like robot metrology position measurements of robot within its large work zone, further integration of inspection with manufacture, computer vision and image processing techniques etc. are developing fast and are finding reliable areas of applications.

关键词： MEASUREMENTS

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Signal processing and Multimedia 1

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丛书名： Communications in computer and Information Science

1000年

作者： Tai-hoon Kim Sankar K. Pal William I. Grosky Niki Pissinou Timothy K. Shih Dominik Ślęzak

ISBN: (数字)9783642176418

ISBN: (纸本)9783642176401

Welcome to the proceedings of the 2010 International conferences on Signal Proce- ing, image processing and Pattern Recognition (SIP 2010), and Multimedia, C- puter graphics and Broadcasting (MulGraB 2010) – two of the partnering events of the Second International Mega-conference on Future Generation Information Te- nology (FGIT 2010). SIP and MulGraB bring together researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted - pects of image, signal, and multimedia processing, including their links to compu- tional sciences, mathematics and information technology. In total, 1,630 papers were submitted to FGIT 2010 from 30 countries, which - cludes 225 papers submitted to SIP/MulGraB 2010. The submitted papers went through a rigorous reviewing process: 395 of the 1,630 papers were accepted for FGIT 2010, while 53 papers were accepted for SIP/MulGraB 2010. Of the 53 papers 8 were selected for the special FGIT 2010 volume published by Springer in the LNCS series. 37 papers are published in this volume, and 8 papers were withdrawn due to technical reasons. We would like to acknowledge the great effort of the SIP/MulGraB 2010 Inter- tional Advisory Boards and members of the International Program Committees, as well as all the organizations and individuals who supported the idea of publishing this volume of proceedings, including SERSC and Springer. Also, the success of these two conferences would not have been possible without the huge support from our sponsors and the work of the Chairs and Organizing Committee.

关键词： image processing and computer vision Signal, image and Speech processing computer Communication Networks Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet)

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Computational Intelligence in Pattern Recognition 1

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丛书名： Advances in Intelligent Systems and Computing

1000年

作者： Asit Kumar Das Janmenjoy Nayak Bighnaraj Naik Soumi Dutta Danilo Pelusi

ISBN: (数字)9789811625435

ISBN: (纸本)9789811625428

This book features high-quality research papers presented at the 3rd International conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 – 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

关键词： Computational Intelligence computer Imaging, vision, Pattern Recognition and graphics Artificial Intelligence Mobile and Network Security

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computer vision and image processing 1

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丛书名： Communications in computer and Information Science

1000年

作者： Balasubramanian Raman Subrahmanyam Murala Abhinav Dhall Puneet Goyal Ananda Chowdhury

ISBN: (数字)9783031113499

ISBN: (纸本)9783031113482

This two-volume set (CCIS 1567-1568) constitutes the refereed proceedings of the 6h International conference on computer vision and image processing, CVIP 2021, held in Rupnagar, India, in December 2021.;The 70 full papers and 20 short papers were carefully reviewed and selected from the 260 submissions. The papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.

关键词： computer Imaging, vision, Pattern Recognition and graphics Machine Learning computer Appl. in Social and Behavioral Sciences computers and Education Information Systems Applications (incl. Internet) Database Management

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computer vision and image processing 1

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丛书名： Communications in computer and Information Science

1000年

作者： Neeta Nain Santosh Kumar Vipparthi Balasubramanian Raman

ISBN: (数字)9789811540189

ISBN: (纸本)9789811540172

This two-volume set (CCIS 1147, CCIS 1148) constitutes the refereed proceedings of the 4th International conference on computer vision and image processing. held in Jaipur, India, in September 2019.;The 73 full papers and 10 short papers were carefully reviewed and selected from 202 submissions. The papers are organized by the topical headings in two parts.;Part I: Biometrics; computer Forensic; computer vision; Dimension Reduction; Healthcare Information Systems; image processing; image segmentation; Information Retrieval; Instance based learning; Machine Learning.;Part II: Neural Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and Privacy; Unsupervised Clustering.

关键词： computer Imaging, vision, Pattern Recognition and graphics Machine Learning Information Systems and Communication Service computer Appl. in Social and Behavioral Sciences computer Systems Organization and Communication Networks

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