Cancer is currently one of the main health issues in the world. Among different varieties of
cancers, skin cancer is the most common cancer in the world and accounts for 75% of the …

Humans take immense pride in their ability to be unpredictably intelligent and despite huge
advances in science over the past century; our understanding about human brain is still far …

Uncertainties are one principal part of any practical problem. Like any application, image
processing process has different unknown parts as uncertainties which are derived from …

Image segmentation is one of the most important tasks of visual machine and image
processing that helps to recognize the pattern. Grouping of the pixels of an image helps to …

Background In this paper, a new method for optimal enhancement of the contrast of a
medical image is proposed. The main idea is to improve the Gamma correction method to …

Medical image fusion is a principal category in the medical applications which has great
impacts on the final diagnosis results. In this study, a hybrid optimization technique is …

Photos taken under nighttime or backlit conditions often suffer from complex and
unpredictable degradation, such as low visibility, messy noise, and distorted color. Previous …

Image segmentation has been widely used in different applications of the image processing.
The main objective of image segmentation is to subdivide the input images to their main …

Accepted: 15 March 2020 Feature selection is used in machine learning as well as in
statistical pattern recognition. This is important in many applications, such as classification …

The modified local binary pattern is a method that can produce high-precision features for
detection and diagnosis of texture images; in this paper, a method is proposed to detect the …