Binary Segmentation of Multiband Images

Binary Segmentation of Multiband Images

We present a method for binary segmentation of multiband images based on a combination of dimensionality reduction techniques (Weighted PCA and Quadratic Programming Feature Selection), classification methods (Gaussian Mixtures Models and Random Forest) and segmentation method (Quadratic Markov Measure Field Models). In this work, four pixels descriptors are presented: Color, Discrete Cosine Tr...

Multi Resolution Fuzzy Segmentation of Satellite Images

Fusing Multiple Multiband Images

We consider the problem of fusing an arbitrary number of multiband, i.e., panchromatic, multispectral, or hyperspectral, images belonging to the same scene. We use the well-known forward observation and linear mixture models with Gaussian perturbations to formulate the maximum-likelihood estimator of the endmember abundance matrix of the fused image. We calculate the Fisher information matrix f...

Energy-based binary segmentation of snow microtomographic images

X-ray micro-tomography has become an essential tool to investigate the mechanical and physical properties of snow, which are tied to its microstructure. A crucial step in the 3D image processing is the binary segmentation of the grayscale X-ray attenuation coefficient image to a binary ice/pore image. In the snow community, this step is usually based on global thresholding conducted with smooth...

Performance Analysis of Segmentation of Hyperspectral Images Based on Color Image Segmentation

Image segmentation is a fundamental approach in the field of image processing and based on user’s application .This paper propose an original and simple segmentation strategy based on the EM approach that resolves many informatics problems about hyperspectral images which are observed by airborne sensors. In a first step, to simplify the input color textured image into a color image without tex...