As 4-sensor line scan camera technology has matured, red (R), green (G), blue (B), and
near-infrared (RGB-NIR) datasets have begun to appear in large numbers. The RGB-NIR …

The most prevalent microbe-caused issues that reduce agricultural output globally are viral
and bacterial infections. It is currently quite challenging to identify pathogens due to the …

Bangla is one of the mostly spoken languages all over the world, nonetheless, efforts on
Bangla handwritten character recognition is not adequate. The use of Deep Convolutional …

Deep Convolutional Neural Network has recently gained popularity because of its improved
performance over the typical machine learning algorithms. However, it has been very rarely …

High confidence in disparity map estimation is critical in several application fields. A novel
framework that employs customized local binary patterns and Jaccard distance for stereo …

Most of the people in the world rely on traditional medicine which is made from medicinal
plants. However, very few works concentrate on automatic classification. Therefore, the …

Optical Character Recognition (OCR) especially for handwritten characters is an important
task for its numerous applications in daily life including data digitizing, robotics vision …

For image classification, Local Gradient Pattern (LGP) is an adaptive threshold-based
feature descriptor which extracts the changes of intensities locally or globally of an image …

One of the most interesting and visually appealing areas of image processing is image
enhancement. In order to enhance the images, various methods have already been …

Gender classification has become one of the most exciting research areas because of its
numerous applications in computer vision. Most of the researches utilize facial images for …