This paper proposes a novel methodology of characterizing and recognizing plant leaves
using a combination of texture and shape features. Texture of the leaf is modeled using …

Recognition and segmentation of plant organs like leaves is one of the major challenges in
digital plant phenoty**. Here we present a 3-D histogram-based segmentation and …

Grou** of pixels based on certain kind of similarity or discontinuity among the pixel called
Segmentation. Segmentation of ROI from the given input image determines the success of …

The application of unmanned aerial vehicle (UAV) used to capture the images of the flood
areas are becoming interest of most researchers recently. This is due to its versatilities of …

Early detection of plant diseases is a key to avoid losses in agriculture products' quality and
quantity. The study of plant diseases entails the examination of visually discernible patterns …

Zero-knowledge proofs have a vast applicability in the domain of cryptography, stemming
from the fact that they can be used to force potentially malicious parties to abide by the rules …

In recent years, medical technologies aimed at extracting quantitative features from medical
images have been greatly developed. One of them is radiomics, which allows extracting a …

The quality of olive fruit and its virgin olive oil is a main concern for consumers and fruit
industrial companies. The effectiveness and fast detection of olive's skin defects is the most …

In this research, identification and classification of cotton diseases is done. The pattern of
disease is important part where some features like the colour of actual infected image are …

Abstract Background/Objectives: Object identification in color images is a complex task,
especially when the background and lighting conditions of the environment are …