Rabia Masood

Work place: Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan

E-mail: rmasood@numl.edu.pk


Research Interests: Artificial Intelligence, Computer Architecture and Organization, Image Processing, Data Mining, Data Structures and Algorithms


Rabia Masood is s lecturer at National University of Modern Languages and Sciences, Islamabad, Pakistan since 2007. She obtained MS degree in Computer Science from Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan. Her research areas include artificial intelligence, digital image processing and data mining techniques.

Author Articles
Plants Disease Segmentation using Image Processing

By Rabia Masood S.A. Khan M. N. A. Khan

DOI: https://doi.org/10.5815/ijmecs.2016.01.04, Pub. Date: 8 Jan. 2016

The image segmentation performs a significant role in the field of image processing because of its wide range of applications in the agricultural fields to identify plants diseases by classifying the different diseases. Classification is a technique to classify the plants diseases on different morphological characteristics. Different classifiers are used to classify such as SVM (Support Vector Machine), K- nearest neighbor classifiers, Artificial Neural Networks, Fuzzy Logic, etc. This paper presents different image processing techniques used for the early detection of different Plants diseases by different authors with different techniques. The main focus of our work is on the critical analysis of different plants disease segmentation techniques. The strengths and limitations of different techniques are discussed in the comparative evaluation of current classification techniques. This study also presents several areas of future research in the domain of plants disease segmentation. Our focus is to analyze the best classification techniques and then fuse certain best techniques to overcome the flaws of different techniques, in the future.

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