Clustering Techniques for Image Segmentation. Dieser Artikel ist nicht verfügbar.Clustering Techniques for Image Segmentation

This book presents the workings of major clustering techniques along with their advantages and shortcomings. After introducing the topic, the authors illustrate their modified version that avoids those shortcomings. The book then introduces four modified clustering techniques, namely the Optimized K-Means (OKM), Enhanced Moving K-Means-1(EMKM-1), Enhanced Moving K-Means-2(EMKM-2), and Outlier Rejection Fuzzy C-Means (ORFCM). The authors show how the OKM technique can differentiate the empty and zero variance cluster, and the data assignment procedure of the K-mean clustering technique is redesigned. They then show how the EMKM-1 and EMKM-2 techniques reform the data-transferring concept of the Adaptive Moving K-Means (AMKM) to avoid the centroid trapping problem. And that the ORFCM technique uses the adaptable membership function to moderate the outlier effects on the Fuzzy C-meaning clustering technique. This book also covers the working steps and codings of quantitative analysismethods. The results highlight that the modified clustering techniques generate more homogenous regions in an image with better shape and sharp edge preservation.

• Showcases major clustering techniques, detailing their advantages and shortcomings;
• Includes several methods for evaluating the performance of segmentation techniques;
• Presents several applications including medical diagnosis systems, satellite imaging systems, and biometric systems.

Fasahat Ullah Siddiqui received a bachelor's degree in Biomedical Engineering from Sir Syed University of Science and Technology (Pakistan) in 2007, and he received his master's and doctoral degree in computer vision from University Sains Malaysia (Malaysia) and Monash University (Australia) in 2012 and 2017. Currently, he is working at Central Queensland University, Australia. His research interest lies in image processing, computer vision, remote sensing, and published papers in reputable journals and conferences. He is also reviewing article papers for reputable journals of MDIP and IEEE publishers.

Abid Yahya began his career on an engineering path, which is rare among other researcher executives. He earned his bachelor's degree from the University of Engineering and Technology, Peshawar, Pakistan, in Electrical and Electronic Engineering, majoring in telecommunication and MSc and Ph.D. degrees in wireless and mobile systems from the Universiti Sains Malaysia, Malaysia. Currently, he is working at the Botswana International University of Science and Technology. He has applied this combination of practical and academic experience to a variety of consultancies for major corporations. Prof. Abid Yahya is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), USA, and a Professional Engineer registered with the Botswana Engineers Registration Board (ERB). He has many research publications to his credit in numerous reputable journals, conference articles, and book chapters. He has received several awards and grants from various funding agencies and supervised several Ph.D. and master candidates. His recent four books, 1) Emerging Technologies in Agriculture, Livestock, and Climate by Springer in 2020; 2)Mobile WiMAX Systems: Performance Analysis of Fractional Frequency Reuse published by  CRC Press | Taylor & Francis in 2019, 3) Steganography Techniques for Digital Images; 4) LTE-A Cellular Networks: Multi-Hop Relay for Coverage, Capacity, and Performance Enhancement,  published by Springer International Publishing in July 2018 January 2017 respectively and are being followed in national and international universities. Prof. Yahya was assigned to be an external and internal examiner for postgraduate students. He has been invited many times to be a speaker or visiting lecturer at different multinational companies. He sits on various panels with the government and other industry-related boards of study.