Genetic algorithms (GAs) have been found to be effective in the domain of medical image
segmentation, since the problem can often be mapped to one of search in a complex and …

Image segmentation is an essential process for image analysis. Several methods were
developed to segment multicomponent images, and the success of these methods depends …

We report on the methodology and first results from the Deep Lens Survey (DLS) transient
search. We utilize image subtraction on survey data to yield all sources of optical variability …

The progress in information retrieval, computer vision, and image analysis makes it possible
to establish very complete bases of algorithms and operators. A specialist in remote sensing …

The authors have developed an automated feature detection/classification system, called
GENetic Imagery Exploitation (GENIE), which has been designed to generate image …

Segmentation of medical images is challenging due to poor image contrast and artifacts that
result in missing or diffuse organ/tissue boundaries. Consequently, this task involves …

The goal of interactive machine learning is to help scientists and engineers exploit more
specialized data from within their deployed environment in less time, with greater accuracy …

We propose a new approach for building detection using high-resolution satellite imagery
based on an adaptive fuzzy-genetic algorithm. This novel approach improves object …

Image segmentation is an essential step in image processing. The goal of segmentation is to
simplify and/or to change the representation of an image into a form easier to analyze. Many …

With the remote sensing technology is possible to predict estimations of the expected
number of killed or injured people. In this study, a loss estimation method is proposed by …