Digital image processing plays a crucial role in facilitating efficient storage, transmission, manipulation, and retrieval of images. Python, renowned for its open-source nature and strong community support, offers a user-friendly platform with extensive image processing capabilities through libraries such as computer vision and scikit-learn. This textbook serves as a practical guide to digital image processing using Python, presenting fundamental concepts, techniques, and algorithms with illustrative examples in Python. Each chapter begins with clear learning objectives and concludes with…mehr
Digital image processing plays a crucial role in facilitating efficient storage, transmission, manipulation, and retrieval of images. Python, renowned for its open-source nature and strong community support, offers a user-friendly platform with extensive image processing capabilities through libraries such as computer vision and scikit-learn. This textbook serves as a practical guide to digital image processing using Python, presenting fundamental concepts, techniques, and algorithms with illustrative examples in Python. Each chapter begins with clear learning objectives and concludes with exercises and multiple-choice questions for self-assessment. Drawing from a diverse range of sources including research articles and books, the references provided at the end of each chapter encourage further exploration. Tailored for undergraduate and postgraduate students, research scholars, engineers, and faculty specializing in image processing, it assumes a foundational understanding of set theory, matrix algebra, probability, and random variables.
S. Esakkirajan is working as Professor in the Department of Instrumentation and Control Systems Engineering, PSG College of Technology, Coimbatore. He has twenty years of teaching experience. He has guided four research scholars in the area of signal and image processing. He has published Digital Signal Processing and Digital Image Processing text books published by McGraw Hill. He was the organizing secretary of IEEE International Conference on "Machine Vision and Image Processing" in the year 2012. He has published papers in the field of signal and image processing in reputed journals and conferences. T. Veerakumar is an Associate Professor in the Department of Electronics and Communication Engineering, National Institute of Technology, Goa. He graduated with a B.E. in Electronics and Communication Engineering from RVS College of Engineering Technology, Dindigul. Then, he did an M.E. degree in Applied Electronics from PSG College of Technology, Coimbatore, and a Ph.D. in Image Denoising from Anna University, Chennai. He co-authored the Text Book titled "Digital Image Processing" and "Digital Signal Processing," published by Tata McGraw Hill. In addition, he has published around 60 research articles inreputed Journals and Conferences. His area of interest includes Signal and Image Processing, Biomedical Image Processing, Object Detection, and Tracking. Badri Narayan Subudhi received M.Tech. in Electronics and System Communication from National Institute of Technology, Rourkela, India, in 2008-09. He worked for his PhD from Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India in year 2014 (degree from Jadavpur University). Currently he is serving as an Assistant Professor at Indian Institute of Technology Jammu, India. Prior to this he was working as an Assistant Professor at NIT Goa fromJuly 2014 to March 2017. He received CSIR senior research fellowship for the year 2011-2015. He was nominated as the Young Scientist Awardees by Indian Science Congress Association for the year 2012-2013. He was awarded with Young Scientist Travel grant award from DST, Government of India and Council of Scientific and Industrial Research, India in the year 2011. He is the recipient of Bose-Ramagnosi Award for the year 2010 from DST, Government of India under India-Trento Programme for Advanced Research (ITPAR). He was a visiting scientist at University of Trento, Italy during Aug. 2010 to Feb 2011. His research interests include Video Processing,Image Processing, Medical Image Processing, Machine Learning, Pattern Recognition, and Remote Sensing Image Analysis. He co-authored the Text Book titled "Digital Signal Processing," published by Tata McGraw Hill. He has published around 80 research papers in reputed journals and conferences. He is a senior member IEEE.
Inhaltsangabe
Chapter 1: elements of image processing.- Chapter 2: two dimensional convolution and correlaton.- Chapter 3: image transforms.- Chapter 4: image enhancement.- Chapter 5: image denoising and image restoration.- Chapter 6: morphological image processing.- Chapter 7: image segmentation.- Chapter 8: feature extraction.- Chapter 9: image compression.- Chapter 10: colour image processing.
