Abstract Multi-Focus Image Fusion (MFIF) is a method that combines two or more source
images to obtain a single image which is focused, has improved quality and more …

Multi-focus image fusion is a technique of combining two images of the same scene with
diverse focuses into a single image. The single fused image has greater depth of field than …

In this paper, we propose an image-driven regional fusion method based on a specific
region partition strategy according to the redundant and complementary correlation of the …

Due to importance and verity of usage image fusion has become a valuable field of
research. Improving the quality of sensors to collect all information about a scene has …

Fusion imaging is one of the most modern, accurate and useful diagnostic techniques in
medical imaging today. The new technology has made a clear difference in patient care by …

\Living organism are consummate problem solvers. They exhibit a versatility that puts the
best computer programs to shame." John H. Holland 1] The material of this bibliography has …

Due to the limited depth-of-focus of optical lenses, it is often difficult to get an image that
contains all relevant objects in focus. Multi-focus image fusion algorithms can solve this …

An Indexed Bibliography of Genetic Algorithms Theory and Comparisons Page 1 An Indexed
Bibliography of Genetic Algorithms Theory and Comparisons compiled by Jarmo T. Alander …

运动目标识别与跟踪在军事和工业领域具有广泛的应用前景. 典型的跟踪方法有相关匹配算法,
光流算法, 基于运动轮廓算法等. 典型的识别方法有: 模板匹配目标识别法 …

Multi-focus image fusion is one of the important embranchments of image fusion. It has been
widely used in target identification, remote sensing image processing and so on. In this …