the estimation of metallurgical parameters of flotation process from froth visual features is the ultimate goal of a machine vision based control system. in this study, a batch flotation system was operated under different process conditions and metallurgical parameters and froth image data were determined simultaneously. algorithms have been developed for measuring textural and physical froth ...

Area-based analyses of airborne laser scanning (ALS) data are an established approach to obtain wall-to-wall predictions of forest characteristics for vast areas. The analyses of sparse data in particular are based on the height value distributions, which do not produce optimal information on the horizontal forest structure. We evaluated the complementary potential of features quantifying the t...

OBJECTIVE Localized texture analysis of breast tissue on mammograms is an issue of major importance in mass characterization. However, in contrast to other mammographic diagnostic approaches, it has not been investigated in depth, due to its inherent difficulty and fuzziness. This work aims to the establishment of a quantitative approach of mammographic masses texture classification, based on a...

It has been shown that humans use some perceptual tex­ tural features such as coarseness, contrast and direction to distinguish beMeen textured images or regions. The aim of this paper is to present a new method to estimate these perceptual textural features using the autocovariancefunc­ tion. Computational measures derivedfrom the autocovari­ ance function to estimate these perceptual textural...

This paper focuses on fusion of optical and Synthetic Aperture Radar (SAR) images to combine these two types of remotely sensed imagery for features enhancement. We have proposed a new fusion technique, namely Block-based Synthetic Variable Ratio (Block-SVR), which is based on block multiple linear regression to fuse optical and SAR imagery. In order to investigate the effectiveness, the fusion...

This Letter describes a procedure that incorporates textural measures in the classification of logged forests from Landsat Thematic Mapper data. The objective was to increase classification accuracy by applying recently developed algorithms in machine learning that are fast in training. Three voting classification algorithms, Arc-4x, Adaboost and bagging were also tested. Initial results using ...

BACKGROUND Wireless capsule endoscopy has been introduced as an innovative, non-invasive diagnostic technique for evaluation of the gastrointestinal tract, reaching places where conventional endoscopy is unable to. However, the output of this technique is an 8 hours video, whose analysis by the expert physician is very time consuming. Thus, a computer assisted diagnosis tool to help the physici...

This contribution deals with the discrimination between stratiform and convective cells in meteorological radar images. This study is based on a textural analysis of the latter and their classification using a Support Vector Machine (SVM). First, we applied different textural parameters such as energy, entropy, inertia and local homogeneity. Through this experience, we identified the different ...

Texture quantization is a useful method for extraction spatial relevance between pixels which is used in humane brain for image interpreting. Beside the spectral bands textural features of high spatial resolution data can be used to improve classification accuracy. Depends on the land cover characteristics different textural features possibly are effective from large number of available textura...

Motion estimation is a key problem in the analysis of image sequences. From a sequence of images we can only estimate an approximation of the image motion field called optical flow. We propose to improve optical flow estimation by including information from images of textural features. We compute the optical flow from intensity and textural images from first-order derivatives, then combine esti...