Papers by Keyword: Texture Analysis

Abstract: Revisiting a spiral design for X-ray pole figure measurementsand a symbolic definition of a cumulative crystallographic orientation distributiona one-dimensional deterministic approximately uniform sequential design is appliedto evaluate and cumulate a given orientation density function resulting in a properly definedcumulative crystallographic orientation distribution.It provides a complementary means to compare distributionsin terms of graphs and the Kolomogorov-Smirnov distance.

Abstract: The authors have developed the texture measurement system at iMATERIA, which is the neutron diffractometers built in Materials and Life Science Experimental Facility (MLF) at J-PARC, Japan. The high flux of the incident beam and Time-Of-Flight method enabled the complete texture measurement within several minutes in case of steels. Since the neutron beam can transmit most of the materials, the measured texture represents the state of whole exposed volume. The multi-histogram analysis also enables to determine phase fractions in a multiphase material as well as the texture of each phase.

Abstract: The paper presents a method of optical inspection of manufacturing processes in the visible band. The presented model of the test bench was based on a monochrome CCD camera that allows one to conduct research in the field of digital image analysis. The wavelet transform was proposed for the detection of objects. This wavelet transform allows examining pictures with use of textures. The article presents an analysis of the results of experiments for selected objects using the proposed method, allowing the evaluation of the correctness of classification. In the article, the advantages of using the proposed method in a sample manufacturing process to recognizing surface defects (e.g. cracks or scratches) is discussed.

Abstract: In this paper a new robust and precise ordering criterion for the characterization of self-assembled hexagonal lattice like Anodic aluminum Oxide (AAO) has been proposed. In order to unveil the mechanism for the self-organization process and deposition techniques in AAO, it is necessary to be able to have a quantitative objective criterion to evaluate the amount of order through every SEM sample of a material. Most of methods in the literature are only able to characterize the extreme case of highly ordered or lowly ordered texture well. But the real challenge is in characterizing the order of medium-ordered texture which is the dual concept of near-regular texture analysis in image processing. Our method based on more advanced image processing techniques, Gabor filter-bank, are able to characterize medium-ordered AAO textures more precisely. Our idea is also able to define the domain's place of the AAO image.

Abstract: This paper presents a machine vision inspection method for winding high frequency inductors, which affects the reliability and quality of the electronic products. This paper proposes how to quickly and correctly improve the quality of component detection, an important issue for surface mounted device (SMD) inductors manufacturers. SMD components easily damage the phenomenon of the electrode, and the brightness of the brightness of the damaged area of the electrode close to normal, not easy to be precise defect area separated from the electrode area.

Abstract: In recent years a significant increase in new Ti-based biocompatible alloys (such as TiTaZr or TiTa-Nb-Zr) development was reported. Titanium and its alloys have been widely used in medicine since the 1960s because of their known biocompatibility, superior mechanical properties, low density and remarkable chemical stability. The present study investigates the microstructures and the mechanical properties of a Ti-29Nb-9Ta-10Zr (wt.%) alloys in order to investigate structural changes occurred during recrystallization treatment of 90% cold rolled Ti-29Nb-9Ta-10Zr (wt.%) alloy. The investigated alloy was fabricated by vacuum arc induction melting in levitation, using a FIVES CELES MP 25 furnace, starting from elemental components. Structural changes occurred during recrystallization treatment were investigated using X-ray diffraction, using a Philip PW 3710 diffractometer, in Bragg-Brentano θ-2θ geometry, with negligible instrumental broadening. Data concerning alloys component phases, average coherent crystallite size and internal average micro-strain was obtained.

Abstract: During the last decade the titanium alloys were extensively used in a variety of applications due to their good mechanical properties, high biocompatibility and corrosion resistance. β-type Ti alloys composed of Nb, Ta and Zr elements have received much attention, because they feature high specific strength, bio-corrosion resistance, no allergic problems and biocompatibility. A Ti-29Nb-9Ta-10Zr (wt.%) alloy was subjected to thermo-mechanical processing and testing. Two states were investigated: recrystallized and 80% cold-rolled. Data concerning phase structure and developed texture, expressed by Inverse Pole Figures (IPFs) and Orientation Distribution Functions (ODFs), was obtained and analyzed.

Abstract: Machine vision based surface roughness inspection method is applied to assess different cylindrical grinding surfaces under LED illumination. Images directly recorded by a camera are analyzed by gray level co-occurrence matrix (GLCM) method to discover its texture information. It shows obviously relationship between feature values of the matrix and their corresponding surface roughness values. Uniform table are also designed to choose optimal parameters, which is five of distance between pixel pairs and ninety degree of angle to calculate GLCM. Entropy is chosen to represent different surface roughness images by comparison of correlation coefficients between the parameters and the corresponding surface roughness values.

Abstract: Higher order local auto-correlation (HLAC) can be used to analyze the different types of complicated data by limiting orders and spatial displacements. In this paper, the basic concept of HLAC is introduced firstly. Then, we analyzed the HLAC based methods from three aspects: algorithm robustness, pattern improvement, and the changes of image functions which participate in the autocorrelation operation. Finally, the applications of HLAC-based methods are discussed.

Abstract: Infrared focal plane array (IRFPA) bad pixel correction as a prevalent problem is widely used in complex conditions. Therefore, scene-based adaptive iteration bad pixel dynamic correction algorithm is proposed and explored. Adaptive filtering bad pixel detection algorithm is to record the intensity of an image and replace the intensity of the image filtered by a locally acting adaptive filter. Using the intensity of the unfiltered and filtered image to determined the bad pixel which regarded as image noise. By the improved Nagao filtering bad pixel compensation algorithm, filtering sub-windows with the same pixel amount whose patterns are decided by the texture analysis can obtain stronger directivity. Thus, the image boundary pixels do not reappear as flicking dot during the quick scene changes, and the rich scene details are preserved.