Data augmentation technology has achieved great success to expand the training set for
several years. As a representative technology, generative adversarial network and its …

Substantial and significant extraction and proper selection of features in a machine learning
model leads to more accurate result. To detect brain tumors in medical images, features like …

Bidirectional power flow based smart grid system is implemented in the Distributed
Generation (DG) sources using Renewable Energy Generators (REG) like solar, wind, etc …

Due to the small data and unbalanced sample distribution in the existing facial emotion
datasets, the effect of facial expression recognition is not ideal. Traditional data …

Multispectral transmission imaging has a great potential for the early screening of breast
cancer due to the low cost, safety and ease in operation. Accurate detection of heterogeneity …

Different image enhancement techniques are applied to improve the visual quality of an
image on a display device. Contrast stretching, intensity level slicing with and without …

This study proposes a novel image contrast enhancement method based on image
projection onto the squared eigenfunctions of the two dimensional Schr\" odinger operator …

By introducing a low-score detection box association stage, the full-detection association
can effectively enhance the accuracy and robustness of online multi-object tracking …

The contrast enhancement technique is utilized to enhance the image quality which produce
good quality images for various image processing tasks. The Histogram Equalization (HE) is …

Contrast enhancement is a crucial preprocessing method for enhancing the efficiency of
subsequent image processing and computer vision tasks. In the past, a lot of effort has been …