Registration of multispectral images with other sensor image such as optical, SAR images, which is the process of estimating the misalignment between two images, is a crucial preprocessing for many applications of multispectral images [1], such as fusion and change monitoring. Recently, some methods have been proposed for multisensory image registration in remote sensing [2]-[5], such as Pixel ...

There has been a recent and increasing interest in computer analysis and recognition of human motion. Previously we presented an efficient real-time approach for representing human motion using a compact “Motion History Image” (MHI). Recognition was achieved by statistically matching moment-based features. To address previous problems related to global analysis and limited recognition, we prese...

Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...

This paper highlights the potential of combining Synthetic Aperture Radar (SAR) and optical data for operational rapid urban mapping. An algorithm consisting of a completely unsupervised procedure for processing pairs of co-registered SAR/optical images is proposed. In a first stage, a texture analysis is conducted independently on the two images using eight different chain-based Gaussian model...

A 'Fundus Map' is a computer generated montage combining multiple adjacent retinal images. It is useful for illustrating large retinal areas. This article describes the history, ethics and methods of producing large area fundus images, and concludes with a tutorial on constructing your own fundus map using Adobe Photoshop.

A novel two dimensional imaging technique of the chemical bonding state was developed by combining the extended X-ray emission fine structure method with an electron probe X-ray microanalyzer mapping technology. With this method, chemical state images of some aluminum standard samples were obtained. It was confirmed that the obtained images provide correct information of chemical states.