Effect of Fusion of Statistical and Texture Features on HSI based Leaf Images with Both Dorsal and Ventral Sides

Abstract

The present work involves statistically analyzing and studying the overall classification accuracy results using Hue channel images of different plant species using their dorsal and ventral sides, and then subjecting them to the process of feature extraction using first order statistical features and texture based features. These extracted features have been subjected to the classification process using KNN and Random Forest algorithms. Further, this work studies the fusion of two different kinds of features extracted for dorsal and ventral plant leaf images and studying the effect of fusion on the overall classification accuracy results. This work also delves into the feature selection task using random forest algorithm and studies the effect of reduced dataset with unique features on the overall classification accuracy results. The most important outcome of this investigation is that the ventral leaf images can be a suitable alternative for plant species classification using digital images and further, the fusion of features does improve the classification accuracy results.

Authors and Affiliations

Poonam Saini, Arun Kumar

Keywords

Related Articles

Study of the Performance of Multi-hop Routing Protocols in Wireless Sensor Networks

Currently in the literature, there are quite a num-ber of multi-hop routing algorithms, some of which are subject to normalization. Routing protocols based on clustering provide an efficient method for extending the life...

A Survey on using Neural Network based Algorithms for Hand Written Digit Recognition

The detection and recognition of handwritten content is the process of converting non-intelligent information such as images into machine edit-able text. This research domain has become an active research area due to vas...

Feasibility Study of Optical Spectroscopy as a Medical Tool for Diagnosis of Skin Lesions

Skin cancer is one of the most frequently en-countered types of cancer in the Western world. According to the Skin Cancer Foundation Statistics, one in every five Americans develops skin cancer during his/her lifetime. T...

Development of Talent Model based on Publication Performance using Apriori Technique

The main problem or challenge faced by Human Resource Management (HRM) is to recognize, develop and manage talent efficiently and effectively. This is because HRM is responsible for selecting the correct talent for suita...

Permutation of Web Search Query Types for User Intent Privacy

Privacy remains a major concern when using search engines to find for information on the web due to the fact that search engines own massive resources in preserving search logs of each user and organizations. However, ma...

Download PDF file
  • EP ID EP393977
  • DOI 10.14569/IJACSA.2018.090940
  • Views 103
  • Downloads 0

How To Cite

Poonam Saini, Arun Kumar (2018). Effect of Fusion of Statistical and Texture Features on HSI based Leaf Images with Both Dorsal and Ventral Sides. International Journal of Advanced Computer Science & Applications, 9(9), 305-312. https://europub.co.uk/articles/-A-393977