A Computer Vision System for the Automatic Identification of Butterfly Species via Gabor-Filter-Based Texture Features and Extreme Learning Machine: GF+ELM
Journal Title: TEM JOURNAL - Year 2013, Vol 2, Issue 1
Abstract
Butterflies are classified first according to their outer morphological qualities. It is required to analyze their genital characters when classification according to their outer morphological qualities is not possible. The genital characters of butterflies can be obtained using various chemical substances and methods; however, these processes can only be carried out with some certain expenses. Furthermore, the preparation of genital slides is time-consuming since it requires specific processes. In this study, a new method based on the extreme learning machine (ELM) and Gabor filters (GFs), which is an image processing technique, was used for the identification of butterfly species as an alternative to conventional diagnostic methods. GFs have been recognized as a very useful tool in texture analysis, due to their optimal localization properties in both the spatial and frequency domains, and have been found to have widespread use in computer vision applications. To obtain the appropriate features from butterfly images in the spatial domain, 20 filters were designed for the various angles and frequencies (5 frequencies and 4 orientations). The diagnosing of butterflies was performed through ELM, with texture features based on GFs. The classification process was performed with a 75%–25% training-test set for different activation functions and the recognition performance value was obtained as 97.00%. In addition, the recognition success rates with ELM were compared to other machine learning methods and it was seen that ELM has a more significant success rate in butterfly identification than other methods. As a result, the proposed method is a suitable machine vision system for detecting butterfly species.
Authors and Affiliations
Yılmaz Kaya, Lokman Kayci, Ramazan Tekin
Keywords
Related Articles
- EP ID EP146142
- DOI -
- Views 183
- Downloads 0
Educational Computer Software "Inheritance Mechanisms" in Biology Lectures
The author's interests are connected with the introduction of the new Infocommunication Technologies in biology educatione. Computer application in educational system should include thoroughly designed complex procedure...
Application of ICT in a Company after Identifying the Characteristics of a Crisis
The paper proposes the use of information and communication technology required to be applied in a company after identifying the characteristics of a crisis. This paper presents the internal and external causes of corpor...
System Analysis with the MVA Method for Symmetrical Three-Phase Faults
Electric energy is one of the fundamental resources of modern industrial society. Electric power is available to the user instantly, at the correct voltage and frequency, and exactly in the amount that is needed. This re...
Search Method Based on Figurative Indexation of Folksonomic Features of Graphic Files
In this paper the search method based on usage of figurative indexation of folksonomic characteristics of graphical files is described. The method takes into account extralinguistic information, is based on using a...
Pattern Recognition and Natural Language Processing: State of the Art
Development of information technologies is growing steadily. With the latest software technologies development and application of the methods of artificial intelligence and machine learning intelligence embededs in...