An Enhanced Image Segmentation Approach for Detection of Diseases in Fruit

Bikram Keshari Mishra, Pradyumna Kumar Tripathy, Saroja Kumar Rout and Chinmaya Ranjan Pattanaik
Additional contact information
Bikram Keshari Mishra: Silicon Institute of Technology, India
Pradyumna Kumar Tripathy: Silicon Institute of Technology, India
Saroja Kumar Rout: Gandhi Institute for Technology, India
Chinmaya Ranjan Pattanaik: Ajay Binay Institute of Technology, India

International Journal of Information System Modeling and Design (IJISMD), 2022, vol. 13, issue 7, 1-21

Abstract: The progress in the realm of image segmentation has helped farmers to use nominal inputs for higher production within limited time. Preliminary identification of diseases on fruits is limited to naked eyes since the majority of these symptoms can only be identified by microscopic visuals. Image segmentation plays a vital part in distinguishing their infected parts from the disinfected ones. In this paper, clustering is used as an approach in image segmentation to cautiously discover the affected parts of the fruits by segmenting the affected areas from the non-affected parts. Four clustering techniques—IS-KM, IS-FEKM, IS-MKM, and IS-FECA—were employed for this purpose. The quality of segmentation was evaluated using few performance measures like SC, RMSE, MSE, MAE, NAE, and PSNR. The result obtained using IS-FECA is more reasonable compared to the other methods. Roughly each value of performance parameters confers better results for IS-FECA-based image segmentation method, which means proper separation of diseased parts in fruits from their un-affected ones is attainable.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISMD.315281 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jismd0:v:13:y:2022:i:7:p:1-21

Access Statistics for this article

International Journal of Information System Modeling and Design (IJISMD) is currently edited by Thierry O. C. Edoh

More articles in International Journal of Information System Modeling and Design (IJISMD) from IGI Global
Bibliographic data for series maintained by Journal Editor ().