Papers by Keyword: Digital Image

Abstract: Polymer materials play an important role in today's social development, and become important materials in industry, agriculture, national defense and other fields. With the further development of modern engineering material technology, polymer materials, together with information technology and biotechnology, promote the progress and development of society. The performance and quality of modified polymer materials have also entered the research field of vision of various industries and become the focus of exploration and analysis. The following is the research on the fracture behavior of modified polymer materials with the help of digital image correlation method. The purpose of this paper is to clarify the basic fracture work, shaping work and other fracture work parameters of various modified polymer materials, and grasp the root cause of fracture work parameters of modified polymer materials, so as to clarify the modification processing parameter means of these polymer materials.

Abstract: Results of the development of the portable mobile color analyzer for sample surfaces using a digital camera are presented. The special program computes and analyzes the color characteristics of samples. The dominant wavelength and the saturation for each pixel as well as for the selected fragment of the digital image are calculated using the spectrum locus. To get the perfect linear color reproduction, the correction factors are introduced. Using the reference color atlas we define factors and carry out the calibration of analyzer′s measuring system by them. The special corrective procedure for the algorithm of the dominant wavelength calculation which enhances the accuracy for spectral colors up to ± 2.5 nm is elaborated. We tested the analyzer in experiments with meat samples produced at the poultry plants. The dominant wavelength could be used for recognizing meat quality characteristics. Experimental results demonstrated the significant differences in data for meat samples of different plants, and they indicated the real storage time of meat.

Abstract: Comparison of quantitative methods for the segmentation of nuclei images is performed. A sizeable variability is typical for biological specimens and it induces the elemental uncertainty in experimental data. To remove the variability from comparison we have proposed and built the special test objects of two types simulating the nuclei images. I-type objects are test patterns as sets of circles and squares of specified dimensions in chromium films on a glass plate. II-type objects are images with brightness differentials that simulate diffractive blurring and are built up with MathCad programming environment. Test objects enable objective comparison of characteristics obtained in the course of their quantitative optical-and-structural analysis using various algorithms and programs. We found that the efficiency of the segmentation algorithm depends on diffractive blurring of the image. Specifics of Otsu’s algorithm and local algorithm of brightness gradient are analyzed for finding the segmentation threshold of digital images modeling transmission Feulgen-stained cell nuclei specimens with diffractive blurring. The performed calculations revealed that the border of geometrooptical image practically coincide with the points of inflection on the intensity distribution graph in a test-object image space. Computational experiments show that quantitative results of the morphometric image study defined by the various segmentation algorithms vary within 5%. It is established that the threshold-identifying algorithm based on the brightness gradient is preferable in the image cytometry.

Abstract: This work deals with determination of location of micro fibers positions in fiber-reinforced concrete. The digital images of sectioned cement-paste samples with dimension equal to 40 × 40 mm were used as an information source about the monofilaments positions. Properly acquired digital image of high resolution allows to determinate the number of fibers in samples cross sections and relate theirs coordinates to any point. Optical microscope Carl Zeiss Axio Zoom.V16 with camera and software allowing individual shots composition of examined samples surface was used to obtain these parameters. Cement pastes reinforced with PET (polyethylene terephthalate) micro fibers having diameter equal to 0.4 mm were studied. The total number and the fibers distribution along the height and width of the sample cross section were examined.

Abstract: Based on the analysis of the characteristic of digital imaging and form, that digital image visual performance of rewriting the traditional visual aesthetic paradigm. The design and the integration of affective communication ability are for the creation of the two-dimensional plane advertisement design provides a new performance space. It has a positive guiding significance. Based on this, this article from is the perspective of plane advertisement design. Summed up the following practical digital imaging visual penetration performance patterns: direct application of deconstruction refactoring, heterogeneous combination, total quality replacement, space-time displacement, deformation and exaggeration and anthropomorphic and combined with the actual application case is analyzed to illustrate arguments. Finally, from the Angle of the audience to digital imaging and visual penetration cognition has carried on the investigation and analysis, combining with related data statistics to verify the digital imaging performance in plane advertisement design, the application of space is very big and worth further research. We are looking forward to digital imaging brings in the two-dimensional plane visual feast for us.

Abstract: This paper is an application of digital image processing technology based on MATLAB; this paper introduces the MATLAB image enhancement and image segmentation technology, in order to lay a foundation for the future research and application.

Abstract: Data hiding is one of the most important ways to achieve secure data transfer. Most spatial data hiding methods will make the host image distortion and the embedded data can be detected by stenography analysis. A novel data hiding method is proposed in this paper. This method first disturbs the raw critical data, and then embedded them only into areas of color changes much in the host image. Experiments show that this method can reduce the distortion of the host image and decrease the appreciability of the embedded data.