Dr. M. Renuka Devi
Image Processing and GIS Image Processing and Geography Information System Pattern Recognition, Image Processing, Machine Learning, Internet of Things, cyber security Image Processing GIS Geography Information System Ad hoc On-Demand Distance Vector Routing Vehicular ad hoc network Mobile ad hoc network Wireless ad hoc network Hand Gesture Recognition Systems Artificial Intelligence and Decision Support Systems Computer Science and Engineering Multispectral pattern recognition Smart Systems and Machine Learning IoT-based Smart Home Systems Mobile Ad Hoc Networks Vehicular Ad Hoc Networks (VANETs) Smart Parking Systems Research Satellite Image Processing and Photogrammetry Bag-of-words model in computer vision Advanced Technologies and Applied Computing Remote-Sensing Image Classification Remote Sensing and Land Use Collocation (remote sensing) Internet of Things and AI Artificial Intelligence Atmospheric Science Building and Construction Computer Networks and Communications Electrical and Electronic Engineering Human-Computer Interaction Information Systems Media Technology Ocean Engineering

Bio

Dr. M. Renuka Devi is an academic and researcher affiliated with Bharathiar University in Coimbatore, India. Her work focuses on image processing, data mining, and geographic information systems (GIS), with notable contributions including the development of the Colpromatix Color Code Model for citrus fruit feature extraction and analyses of resampling methods in Coimbatore district. She has authored several papers and served as a reviewer for journals such as GJCST. Dr. Renuka Devi holds a Ph.D. and MCA, and has supervised multiple scholars. Her research interests span image processing, data mining, and computer vision, with over 30 publications and a growing citation impact.

Educational Journey

Tripura University

Mtech in Computer Science and Engineering • Computer Science and Engineering

Bharathiar University

MCA, M Phil, PhD, Associate Professor • Image Processing and GIS

Bharathiar University

MCA, Mphil, PhD • Image processing and Data mining

Experience

Assistant Professor

2023 - Present • cyber security and digital Forensic Department

Sree Saraswathi Thayagaraja College

0 - 0

0 - 0

Editors Role

Reviewer

IJCA

0 -

Research

Citrus Fruit Feature Extraction using Colpromatix Color Code Model

Article January 22, 2018

Classification of citrus fruit more precisely and economically under natural illumination circumstances. The aim of this paper was to develop a robust and feature extraction techniques to discover citrus fruit features with different dimensions and under different illumination conditions. To identify object residing in image, the image has to be described or represented by certain features. In this paper, proposed a citrus fruit feature extraction process for deriving the classification. The proposed system present two tasks namely, 1) Image pre-processing: it is carried out using Hybrid Noise filter to remove the noise; ii) Citrus fruit features extraction: Feature extraction using new Colpromatix color space model, Size, Texture, Shape, and Coarseness. The Image Shape is an important visual feature of an image. Difference features representation and description techniques are discuss in this review paper. Feature extraction techniques play an important role in systems for object recognition, matching, extracting, and analysis. It also presents comparison between various techniques.

An Analysis of Different Resampling Methods in Coimbatore, District

Article January 1, 1970