The same sensor or a number of image sensors are used to take a series of photographs in
order to gather as much data as possible about the scene. Several imaging techniques are …

Segmentation is considered as one of the most significant tasks in image processing. It
consists of separating the pixels into different segments based on their intensity level …

We conduct an exhaustive survey of image thresholding methods, categorize them, express
their formulas under a uniform notation, and finally carry their performance comparison. The …

Image binarization is the process of separation of pixel values into two groups, white as
background and black as foreground. Thresholding plays a major in binarization of images …

Images are fused to produce a composite image by combining key characteristics of the
source images in image fusion. It makes the fused image better for human vision and …

Image segmentation is an important and fundamental task in many digital image processing
systems. Image segmentation by thresholding is the simplest technique and involves the …

In this paper, we propose a new method, the RANSAC-based DARCES method (data-
aligned rigidity-constrained exhaustive search based on random sample consensus), which …

We describe a specification-based approach to detect exploitations of vulnerabilities in
security-critical programs. The approach utilizes security specifications that describe the …

A robust system is proposed to automatically detect and extract text in images from different
sources, including video, newspapers, advertisements, stock certificates, photographs, and …

In this paper, we present a new thresholding technique based on two-dimensional Renyi's
entropy. The two-dimensional Renyi's entropy was obtained from the two-dimensional …