Deep learning has revolutionized the detection of diseases and is helping the healthcare
sector break barriers in terms of accuracy and robustness to achieve efficient and robust …

Genetic programming has now been used to produce at least 76 instances of results that are
competitive with human-produced results. These human-competitive results come from a …

The financial services sector has undergone a transformation due to predictive analytics and
data mining, which have improved risk assessment and strengthened fraud detection …

The growth of the mobile Internet, smartphones and social networks has brought in huge
amounts of picture information, and traditional manual identification is not able to meet the …

Image registration (IR) aims to find a transformation between two or more images acquired
under different conditions. This problem has been established as a very active research field …

This work describes how evolutionary computation can be used to synthesize low-level
image operators that detect interesting points on digital images. Interest point detection is an …

This contribution presents a novel approach for the automatic generation of a low-level
feature extractor that is useful in higher-level computer vision tasks. Specifically, our work …

Genetic programming (GP) has been primarily used to tackle optimization, classification, and
feature selection related tasks. The widespread use of GP is due to its flexible and …

In allusion to the problems of citrus surface defect identification such as blurred edges,
unclear images, more interference and difficulty in defect identification, surface defect …

In this paper, we propose a multi-focus image fusion approach based on Stationary Wavelet
Transform (SWT) and extended the Spatial Frequency Measurements (SFM). Our proposed …