Digital images of real objects are often characterized by regions of nonuniform intensities. Unde... more Digital images of real objects are often characterized by regions of nonuniform intensities. Understanding image texture, defined as a function of the spatial variation in pixel intensities (gray values), is important in numerous applications. Texture patterns can be caused either by physical surface properties such as roughness, or they can be the result of reflectance differences such as the color or brightness of an object. In this paper two examples from papermaking and graphic arts industry are presented where various texture parameters – energy, contrast, correlation, inverse difference moment, entropy – were extracted from the gray level coocurrence matrices (GLCM). These were computed from the corresponding images acquired with laser profilometer (surface profile data) and flat-bed scanner (mottling) using ImageJ's GLCM Texture plugin. The results are discussed and compared with those obtained by conventional methods for determining paper surface topography and print mot...
Digital images of real objects are often characterized by regions of nonuniform intensities. Unde... more Digital images of real objects are often characterized by regions of nonuniform intensities. Understanding image texture, defined as a function of the spatial variation in pixel intensities (gray values), is important in numerous applications. Texture patterns can be caused either by physical surface properties such as roughness, or they can be the result of reflectance differences such as the color or brightness of an object. In this paper two examples from papermaking and graphic arts industry are presented where various texture parameters – energy, contrast, correlation, inverse difference moment, entropy – were extracted from the gray level coocurrence matrices (GLCM). These were computed from the corresponding images acquired with laser profilometer (surface profile data) and flat-bed scanner (mottling) using ImageJ's GLCM Texture plugin. The results are discussed and compared with those obtained by conventional methods for determining paper surface topography and print mot...
The tensile behavior of fibres, spun from a blend of small percentage of plastic grade polypropyl... more The tensile behavior of fibres, spun from a blend of small percentage of plastic grade polypropylene with fibre grade polypropylene, was studied in relation to their structure. The spinning and drawing process was optimized in order to increase the elastic moduli of produced filament yarns. By such optimization of the process a tenacity of 0.7 GPa, an elastic modulus of 14.8 GPa and a dynamic modulus of 19 GPa were attained. From diffuse small-angle X-ray scattering the presence of voids, up to 11.5%, was established. Voidness of the fibrillar structure was confirmed with electron micrographs. In spite of the rather drastic changes in morphology the mechanical properties of high void fibrillar structures are good, indicating that the load bearing units of the filament have maintained their integrity. The improved mechanical behavior of highly drawn fibres spun from 10/90 plastic/fibre grade polymer blend is related to higher crystalline and above all to higher amorphous orientation.
International Journal of Polymeric Materials, 2000
Among mechanical properties of polypropylene fibers, spun from the blend of medium molecular weig... more Among mechanical properties of polypropylene fibers, spun from the blend of medium molecular weight CR-polymer with added high molecular weight polymer in the composition range of. 10-50 wt%, special interest is focused on the elastic modulus in this paper. In the case of two-phase composite system, the resultant modulus is a function of the moduli of the individual pure components,
Digital images of real objects are often characterized by regions of nonuniform intensities. Unde... more Digital images of real objects are often characterized by regions of nonuniform intensities. Understanding image texture, defined as a function of the spatial variation in pixel intensities (gray values), is important in numerous applications. Texture patterns can be caused either by physical surface properties such as roughness, or they can be the result of reflectance differences such as the color or brightness of an object. In this paper two examples from papermaking and graphic arts industry are presented where various texture parameters – energy, contrast, correlation, inverse difference moment, entropy – were extracted from the gray level coocurrence matrices (GLCM). These were computed from the corresponding images acquired with laser profilometer (surface profile data) and flat-bed scanner (mottling) using ImageJ's GLCM Texture plugin. The results are discussed and compared with those obtained by conventional methods for determining paper surface topography and print mot...
Digital images of real objects are often characterized by regions of nonuniform intensities. Unde... more Digital images of real objects are often characterized by regions of nonuniform intensities. Understanding image texture, defined as a function of the spatial variation in pixel intensities (gray values), is important in numerous applications. Texture patterns can be caused either by physical surface properties such as roughness, or they can be the result of reflectance differences such as the color or brightness of an object. In this paper two examples from papermaking and graphic arts industry are presented where various texture parameters – energy, contrast, correlation, inverse difference moment, entropy – were extracted from the gray level coocurrence matrices (GLCM). These were computed from the corresponding images acquired with laser profilometer (surface profile data) and flat-bed scanner (mottling) using ImageJ's GLCM Texture plugin. The results are discussed and compared with those obtained by conventional methods for determining paper surface topography and print mot...
The tensile behavior of fibres, spun from a blend of small percentage of plastic grade polypropyl... more The tensile behavior of fibres, spun from a blend of small percentage of plastic grade polypropylene with fibre grade polypropylene, was studied in relation to their structure. The spinning and drawing process was optimized in order to increase the elastic moduli of produced filament yarns. By such optimization of the process a tenacity of 0.7 GPa, an elastic modulus of 14.8 GPa and a dynamic modulus of 19 GPa were attained. From diffuse small-angle X-ray scattering the presence of voids, up to 11.5%, was established. Voidness of the fibrillar structure was confirmed with electron micrographs. In spite of the rather drastic changes in morphology the mechanical properties of high void fibrillar structures are good, indicating that the load bearing units of the filament have maintained their integrity. The improved mechanical behavior of highly drawn fibres spun from 10/90 plastic/fibre grade polymer blend is related to higher crystalline and above all to higher amorphous orientation.
International Journal of Polymeric Materials, 2000
Among mechanical properties of polypropylene fibers, spun from the blend of medium molecular weig... more Among mechanical properties of polypropylene fibers, spun from the blend of medium molecular weight CR-polymer with added high molecular weight polymer in the composition range of. 10-50 wt%, special interest is focused on the elastic modulus in this paper. In the case of two-phase composite system, the resultant modulus is a function of the moduli of the individual pure components,
Uploads
Papers by Diana Gregor