The application of a hierarchical self{organizing map (HSOM) to the problem of segmentation of multispectral magnetic resonance (MR) images is investigated. The HSOM is composed of several layers of the self{organizing map (SOM) organized in a pyramidal fashion. The SOM has been used for the segmentation of multispectral MR images but the results often su er from undersegmentation and oversegme...

This communication deals with the fusion of panchromatic (PAN) images of high spatial resolution and multispectral (MS) images of lower resolution in order to synthesize MS images at high resolution. These fused images should be as identical as possible to images that would have been acquired by the corresponding space borne sensor if it were fit with this high resolution. A protocol for the as...

The light spectrum that is recorded by a pixel on an imaging sensor is often a mixture of several distinct source spectra. Such a mixture may be modeled as a linear combination of some basis spectra, and if the basis for the scene is known, each pixel may be decomposed into its original components using linear inversion. Since the maximum number of separable basis spectra is equal to the number...

We present a multispectral digital colposcope (MDC) to measure multispectral autofluorescence and reflectance images of the cervix by using an inexpensive color CCD camera. The diagnostic ability of the MDC was evaluated by application of MDC spectral response to fluorescence and reflectance spectra measured from a large clinical trial. High diagnostic performance was achieved by use of only tw...

BACKGROUND Digital staining can be considered as a special form of image enhancement wherein the concern is not only to increase the contrast between the background objects and objects of interest, but to also impart the colors that mark the objects' unique reactions to a specific stain. In this paper, we extended the previously proposed multispectral enhancement methods such that the colors of...

This paper presents an unsupervised method to segment multispectral images, involving a correlated non-Gaussian noise. The efficiency of the Markovian quadtree-based method we propose will be illustrated on a satellite image segmentation task with multispectral observations, in order to update nautical charts. The proposed method relies on a hierarchical Markovian modeling and includes the esti...

We address the problem of representing multispectral images of objects using eigenviews for recognition purposes. Eigenviews have long been used for object recognition and pose estimation purposes in the grayscale and color image settings. The purpose of this paper is two-fold: firstly to extend the idealogies of eigenviews to multispectral images and secondly to propose the use of dimensionali...

Breast cancer is the second most frequent cancer. The reference process for breast cancer prognosis is Nottingham grading system. According to this system, mitosis detection is one of the three important criteria required for grading process and quantifying the locality and prognosis of a tumor. Multispectral imaging, as relatively new to the field of histopathology, has the advantage, over tra...

The increasing availability of new generation remote sensing satellite multispectral images provides an unprecedented source of information for Earth observation and monitoring. Multispectral images can be now collected at high resolution covering (almost) all land surfaces with extremely short revisit time (up to a few days), making it possible the mapping of global changes. Extracting useful ...

With the introduction of new satellites for earth monitoring characterized by very high resolution (VHR) sensors, new algorithms to recognize shadow in the supplied images are necessary. Automatic shadow detection can enhance the interpretability of the images in several applications such as classification and change detection. Several approaches are present in literature for shadow detection a...