This study presents an algorithm for fingerprint classification using a CNN (convolutional
neural network) model and making use of full images belonging to four digital databases …

Edge detection includes a variety of mathematical methods that aim at identifying points in a
digital image at which the image brightness changes sharply or, more formally, has …

Edge detection is essential for image processing and recognition. However, single methods
struggle under challenging lighting conditions, limiting the effectiveness of applications like …

One of the critical issues of image processing, defined as obtaining useful information from
the image and improving the quality of the image, is edge detection. How edge detection …

The accuracy of defect detection in various locations is directly affected by the influence of
precise segmentation of radial tire images. As the need for high-quality tires has grown, so …

An automated tropical wood recognition system has been developed by Centre for Artificial
Intelligence & Robotics (CAIRO), Universiti Teknologi Malaysia (UTM) based on machine …

Актуальность темы исследования. Во многих областях человеческой деятельности
используются модели и методы компьютерного зрения, которое представляет собой …

Breast cancer is one of the most common types of cancer amongst women, but it is also one
of the most frequently cured cancers. Because of this, early detection is crucial, and this can …