Fr. 256.00

Machine Vision Inspection Systems, Image Processing, Concepts, - Methodologies, and Application

English · Hardback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

Read more

Informationen zum Autor Muthukumaran Malarvel obtained his PhD in Digital Image Processing and he is currently working as an Associate Professor in the Department of Computer Science and Engineering at Chitkara University, Punjab, India. His research interests include digital image processing, machine vision systems, image statistical analysis & feature extraction, and machine learning algorithms. Soumya Ranjan Nayak obtained his PhD in computer science and engineering from the Biju Patnaik University of Technology, India. He has more than a decade of teaching and research experience and currently is working as an Assistant Professor, Amity University, Noida, India. His research interests include image analysis on fractal geometry, color and texture analysis jointly and separately. Surya Narayan Panda is a Professor and Director Research at Chitkara University, Punjab, India. His areas of interest include Cybersecurity, Networking, Advanced Computer Networks, Machine Learning, and Artificial Intelligence. He has developed the prototype of Smart Portable Intensive Care Unit through which the doctor can provide immediate virtual medical assistance to emergency cases in the ambulance. He is currently involved in designing different healthcare devices for real-time issues using AI and ML. Prasant Kumar Pattnaik Ph.D. (Computer Science), Fellow IETE, Senior Member IEEE is a Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. He has more than a decade of teaching and research experience. His areas of interest include Mobile Computing, Cloud Computing, Cyber Security, Intelligent Systems and Brain Computer Interface. Nittaya Muangnak is a lecturer at Kasetsart University, Thailand. Her PhD research has been on medical image analysis, particularly retinal fundus image, at Sirindhorn International Institute of Technology, Thammasat University in Thailand. Inhaltsverzeichnis Preface xi 1 Land-Use Classification with Integrated Data 1 D. A. Meedeniya, J. A. A. M Jayanetti, M. D. N. Dilini, M. H. Wickramapala and J. H. Madushanka 1.1 Introduction 2 1.2 Background Study 3 1.2.1 Overview of Land-Use and Land-Cover Information 3 1.2.2 Geographical Information Systems 4 1.2.3 GIS-Related Data Types 4 1.2.3.1 Point Data Sets 4 1.2.3.2 Aerial Data Sets 5 1.2.4 Related Studies 6 1.3 System Design 6 1.4 Implementation Details 10 1.4.1 Materials 10 1.4.2 Preprocessing 11 1.4.3 Built-Up Area Extraction 11 1.4.4 Per-Pixel Classification 12 1.4.5 Clustering 14 1.4.6 Segmentation 14 1.4.7 Object-Based Image Classification 16 1.4.8 Foursquare Data Preprocessing and Quality Analysis 20 1.4.9 Integration of Satellite Images with Foursquare Data 21 1.4.10 Building Block Identification 21 1.4.11 Overlay of Foursquare Points 22 1.4.12 Visualization of Land Usage 23 1.4.13 Common Platform Development 23 1.5 System Evaluation 25 1.5.1 Experimental Evaluation Process 25 1.5.2 Evaluation of the Classification Using Base Error Matrix 28 1.6 Discussion 31 1.6.1 Contribution of the Proposed Approach 31 1.6.2 Limitations of the Data Sets 32 1.6.3 Future Research Directions 33 1.7 Conclusion 34 References 35 2 Indian Sign Language Recognition Using Soft Computing Techniques 37 Ashok Kumar Sahoo, Pradeepta Kumar Sarangi and Parul Goyal 2.1 Introduction 37 2.2 Related Works 38 2.2.1 The Domain of Sign Language 39 2.2.2 The Data Acquisition Methods 41 2.2.3 Preprocessing Steps 42 2.2.3.1 Image Restructuring 43 2.2.3.2 Skin Color Detection 43 2.2.4 Methods of Feature Extraction Used in the Experiments 44 2.2.5 Classific...

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.