Abstract: Melon cultivation is significantly affected by various leaf diseases that hinder productivity and crop quality. Accurate identification of melon leaf conditions-such as healthy leaves, ...

v1.2: finally found out why the compare function crashed: OpenCV's image hash functions don't like being called concurrently, had to add "pauses" at the right places to circumvent v1.1: added ...

Abstract: Brain tumors constitute a significant public health issue worldwide, affecting not only individuals patients but also healthcare infrastructures. Recently, the prevalence of brain and other ...

Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...

Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...

Introduction: Lung cancer is currently among the most prevalent and lethal cancers in the world in terms of incidence and fatality rates. In clinical practice, identifying the specific subtypes of ...

In this tutorial, we are going to use OpenCV and Deep Learning models to accurately identify the gender and age of a person from a real-time video stream. The deep learning age and gender detector ...

Sushil Ostwal presented on automated ID extraction from scanned documents at the CVDC 2020 conference. Extracting IDs from physical forms is complex and time-consuming, necessitating efficient ...

Recently launched, OpenCV AI Kit (OAK) is a family of open-hardware Myriad X-based hardware solution for computer vision by OpenCV. The open-source ecosystem composed of MIT-licensed hardware, ...