2026/2/5
Kamran Kheiralipour

Kamran Kheiralipour

Academic rank: Associate Professor
ORCID:
Education: PhD.
H-Index:
Faculty: Agriculture
ScholarId:
E-mail: K.kheiralipour [at] ilam.ac.ir
ScopusId:
Phone:
ResearchGate:

Research

Title
Advances in Image Processing Applications for Assessing Leafy Materials
Type
JournalPaper
Keywords
Herbs, Medicinal plants, Aromatic plants, Leaf, Machine vision, Digital image processing
Year
2023
Journal International Journal of Tropical Agriculture
DOI
Researchers Kamran Kheiralipour ، Digvir S. Jayas

Abstract

Leafy materials are produced from agricultural crops and forestry plants that have important role in human life and environment. Expert-based assessment of leafy materials by humans is time consuming, expensive, and difficult and is sample-destructive task in some cases. Image processing has different applications through simulating vision sense of humans to assess color, textural, and morphological characteristics of objects and can be further enhanced by utilizing spectra beyond human visible range. It is considered as a beneficial and practical tool due to its high speed, accuracy, and repeatability and also it is a low cost and nondestructive technique compared to expert-based assessments. The goal of this paper is to review the advances of image processing applications for assessing the leafy materials including herbs, aromatic, and medicinal plants.