Retinal illnesses such as diabetic retinopathy (DR) are the main causes of vision loss. In the
early recognition of eye diseases, the segmentation of blood vessels in retina images plays …

Rapid detection of plant phenotypic traits is crucial for plant breeding and cultivation.
Traditional measurement methods are carried out by rich-experienced agronomists, which …

The development of self-driving cars increases driving safety and accelerates urban
transportation. These systems must have robust and real-time understanding of traffic …

Despite the recent advances in immune therapies, melanoma remains one of the deadliest
and most difficult skin cancers to treat. Literature reports that multifarious driver oncogenes …

Plants have elemental importance for all life forms. The research areas in the field of plant
sciences for botanists and agriculturists include the identification of plant species …

In the leather industry, identifying species of leather holds a significant step toward
consistent global leather trade. Intertwining image processing and a learning algorithm with …

High-precision segmentation of tobacco leaves is a prerequisite for analysis of phenotypic
information. Challenges such as mutual occlusion and fuzzy edges make leaf segmentation …

In order to reduce the overuse of herbicides, an automatic spraying system can be utilized,
assisted with machine vision-based techniques to accurately target weeds. In this paper, a …

In this paper, a method is presented for Multi-Object Tracking (MOT) in presence of partial or
complete occlusions. This work focuses on improved object detection and data association …

Active contour models (ACMs) are popular and widely used for many image segmentation
applications and obtain promising results. However, these methods are unable to achieve …