A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases

A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases

Abstract Agriculture plays a critical role in the economy of several countries, by providing the main sources of income, employment, and food to their rural population. However, in recent years, it has been observed that plants and fruits are widely damaged by different diseases which cause a huge l...

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Bibliographic Details
Main Authors: Muhammad Attique Khan, Tallha Akram, Muhammad Sharif, Majed Alhaisoni, Tanzila Saba, Nadia Nawaz
Format: Article
Language:English
Published: SpringerOpen 2021-05-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Contrast stretching
Segmentation
Fusion
Feature extraction
Feature selection
Classification
Online Access:https://doi.org/10.1186/s13640-021-00558-2

Internet

https://doi.org/10.1186/s13640-021-00558-2

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