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ABSTRACT
Due to the growth of image exploitation, there is a requirement of systemizing the images in several ways. Time consumption and accuracy are the most important problem in the CBIR method. Therefore, a Content-Based Fabric Image Retrieval (CBFIR) method is proposed in this paper that is based on texture and colour features extraction. The Fuzzy C-Means (FCM) algorithm creates primary clusters and the Simultaneous Orthogonal Matching Pursuit (SOMP) algorithm updates every cluster in the dictionary. To find the sparse representation dictionary, the test image is compared by the proposed method with the dictionaries generated. The input images are obtained from the fabric dataset. Several distance based similarity measures are utilized for comparison. It can be seen that the proposed method’s performance is sufficiently good concerning the rate of recall, accuracy, and precision with the values of 97%, 91%, and 88% respectively.
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Notes on contributors
A. Meenakshi
Dr. A. Meenakshi is currently working as Professor andHead of the Department, in the Department of Computer Science andEngineering, Kamaraj College of Engineering and Technology, Near Virudunagar. She has 25+ years of teaching experience in Computer Science and Engineering and has nearly 15 years of research experience. She has completed her Masters of Engineering (in Computer Science and Engineering), from Mepco Schlenk Engineering College, Sivakasiand Ph.D (in information Communication Engineering, in the field of Machine learning) from Thiagarajar College of Engineering, Madurai under Anna University, Chennai. She has published nearly 12 papers in National and International journals and around 20+ papers in National and International conferences. Her area of interests include Big data analytics and Machine learning.
A. P. Janani
Dr. A. P. Janani, received her B.Sc. degree in Physics from Sri G.V.G Visalakshi College for Women, (Bharathiyar University, India) in 1998 and M.C.A. degree from Shrimathi Indira Gandhi College for women (Bharathidhasan University, India) in 2001. She received her M.E. degree in Computer Science and Engineering from PSNA College of Engineering and Technology (Anna University, India) in 200. She completed her Doctorate in the Department of Information and Communication Engineering at Anna University in 2015. She is currently working as Associate Professor in Department of Information Technology, Dr.Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu. She is a member of ISTE.
S. Devi Mahalakshmi
Dr. S. Devi Mahalakshmi received the B.E. degree in Computer Science and Engineering from the Manonmaniam Sundaranar University at Tirunelveli, TamilNadu, India , the M.E. degree in Computer Science and Engineering from the Anna University at Chennai, TamilNadu, India and the Ph.D. degree in Information and Communication Engineering from the Anna University at Chennai, TamilNadu, India. She has over 22 years of teaching and research experience. She is currently an associate professor with the department of computer science and engineering, Mepco Schlenk Engineering College (Autonomous), Sivakasi, Tamil Nadu, India. She has authored a number of international Journal papers in reputed international journals of computer science and engineering and published many patents. Her research interests include machine vision and image forensics, medical imaging, IOT and image analysis, in agriculture. She has served on Review committees of various international journals.
S. Vanitha Sivagami
Dr. S. Vanitha Sivagami obtained her Ph.D in 2017 and has twenty three years of teaching experience. She has totally fifty seven reputed publications. She has published one patent and granted with two copyrights. Her research interests include image processing, deep learning, internet of things and system programming. She is a life member of Computer Society of India (CSI) and Indian Society for Technical Education (ISTE).