Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)

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Automatic Classification of Desmids Using Handcrafted Texture Descriptors

Authors
Rajmohan Pardeshi1, *, Rita B. Patil1, Nirupama Ansingkar1, Prapti Deshmukh2
1Department of Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India
2Dr. G Y Pathrikar College of CS and IT, Aurangabad, Maharashtra, India
*Corresponding author. Email: rajmohanji@hotmail.com
Corresponding Author
Rajmohan Pardeshi
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-196-8_30How to use a DOI?
Keywords
Unicellular Algae; Computer Vision; Texture Descriptors; Support Vector Machine; Linear Discriminant analysis
Abstract

Algae plays a vital role in aquatic ecosystem and serves as indicator for various issues related to water quality. In addition to these algae have various application in day to day life such as nutrition, fish feed, agriculture fertilizer, medicine, space research etc. More than 5000 species are discovered by the scientist and still research is going on. Manual classification of microscopic algae is very tedious task as it involves burden of taxonomic investigation whereas machine learning based algorithms play vital role and requires only one-time training. In this paper, we presented a method for automatic classification of desmids using handcrafted descriptors. Our algorithm involves three common steps of Patter Recognition algorithm such as pre-processing, feature computation and classification. We have applied image resize and colour to gray level conversion operation during processing. Histogram of Oriented Gradients, Local Binary Pattern and Local Phase Quantization are used for texture description. Nearest Neighbour Classifier, Linear Discriminant Analysis and Support Vector Machines were tested for classification of desmids. We have achieved encouraging results during our experiments on dataset of five classes of desmids.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
Series
Advances in Intelligent Systems Research
Publication Date
10 August 2023
ISBN
978-94-6463-196-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-196-8_30How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Rajmohan Pardeshi
AU  - Rita B. Patil
AU  - Nirupama Ansingkar
AU  - Prapti Deshmukh
PY  - 2023
DA  - 2023/08/10
TI  - Automatic Classification of Desmids Using Handcrafted Texture Descriptors
BT  - Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
PB  - Atlantis Press
SP  - 400
EP  - 408
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-196-8_30
DO  - 10.2991/978-94-6463-196-8_30
ID  - Pardeshi2023
ER  -