文件名称：FILTERING, SEGMENTATION AND REGION CLASSIFICATION BY HYPERSPECTRAL
文件大小：405KB
文件格式：PDF
更新时间：2011-12-08 01:45:10
Hyperspectral images, mathematical morphology, MRI,
Segmenting dynamic contrast enhanced-MRI series of small animal, which are intrinsically noisy and low contrasted images with low resolution, is the aim of this paper. To do this, a segmentation method taking into account the temporal (spectral) and spatial information is presented on several series. The idea is to start from a temporal classification, and to build a probability density function of contours conditionally to this classification. Then, this function is segmented to find potentially tumorous areas. The method is presented on several series after a range normalization histogram in order to compare the series.