6533b82cfe1ef96bd128fd69

RESEARCH PRODUCT

Electron Holography for Electric and Magnetic Field Measurements and Its Application for Nanophysics

Gerd SchǒnhenseSergej A. Nepijko

subject

Pixelbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRangingMathematical morphologyElectron holographyMagnetic fieldRendering (computer graphics)Computer visionArtificial intelligenceSmall particlesbusinessComputingMethodologies_COMPUTERGRAPHICSMathematics

description

Abstract Texture constitutes one of the fundamental properties of objects besides color and shape. In several image analysis applications, it is often the only exploitable quality of objects. As such, it has been studied, described, segmented, synthesized, or in short, analyzed extensively. Among the plethora of texture description methods, mathematical morphology deserves special attention as it excels at the exploitation of spatial relationships among pixels, rendering it inherently suitable for texture description. In this chapter, we focus on morphological texture description methods for grey-scale and color images in an effort to spread the advantages of this framework in the context of texture analysis. We review several descriptors, ranging from the basic granulometries and pattern spectra to the most advanced multivariate and multidimensional size, shape, orientation, and distance distributions, providing application examples as well as experimental results.

yearjournalcountryeditionlanguage
2011-01-01
https://doi.org/10.1016/b978-0-12-385981-5.00005-7