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Journal articles on the topic 'Image Composition'

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1

Azadi, Samaneh, Deepak Pathak, Sayna Ebrahimi, and Trevor Darrell. "Compositional GAN: Learning Image-Conditional Binary Composition." International Journal of Computer Vision 128, no. 10-11 (May 28, 2020): 2570–85. http://dx.doi.org/10.1007/s11263-020-01336-9.

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Schetinger, Victor, Massimo Iuliani, Alessandro Piva, and Manuel M. Oliveira. "Image forgery detection confronts image composition." Computers & Graphics 68 (November 2017): 152–63. http://dx.doi.org/10.1016/j.cag.2017.08.014.

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de Jong, A. F., and D. Van Dyck. "Algorithms for Composition Determination from HREM Images of Substitutional Alloys." Proceedings, annual meeting, Electron Microscopy Society of America 48, no. 1 (August 12, 1990): 30–31. http://dx.doi.org/10.1017/s0424820100178902.

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In a substitutional alloy the positions of the lattice sites are fixed, but they may be randomly occupied by two or more different atom types. An example is the semiconductor Alx Ga1-x As, which has the group III sites arranged in columns at a (projected) distance of 0.28 nm when imaged in the [100] direction. The determination of compositions at atomic resolution would enable the study of roughness and interdiffusion at epitaxial interfaces such as GaAs/Alx Ga1-x . With high-resolution electron microscopy (HREM) it is possible to image the different columns, but it is difficult to image differences in composition. One method has been proposed so far to measure compositions from HREM images. We derive a linear relationship between deviations in composition and image contrast, and propose and test two new image processing algorithms to measure compositions in atomic columns.Consider a substitutional alloy with one atomic position occupied by either type A or type B atoms, and assume that the z -dependence of the potential can be disregarded. For the average composition an average potential V0 (dependence on (x,y ) implicit) results in an average electron wavefunction ϕo (z ) at the exit plane of the sample. Locally (e.g. in one atomic column) the composition may deviate from the average by y , causing a small deviation from the average potential of y(VA – VB ). VA and VB are the potentials when the crystal would contain only type A or type B atoms, respectively. The wavefunction can be calculated using perturbation theory, yielding formally to first order:
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Congde Wang, 王从德, 张荣 Rong Zhang, and 邓璠 Fan Deng. "Image composition with color harmonization." Chinese Optics Letters 7, no. 6 (2009): 483–85. http://dx.doi.org/10.3788/col20090706.0483.

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WAN, YANLI, ZHEN TANG, ZHENJIANG MIAO, and BO LI. "IMAGE COMPOSITION WITH COLOR HARMONIZATION." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 03 (May 2012): 1254001. http://dx.doi.org/10.1142/s0218001412540018.

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Image composition is a very important technique in computer generated imagery. Besides some factors such as contrast, texture and noise that affect the quality of the composition, color harmony between fore- and background is also an important factor that would affect the quality of the composition. However, in the previous image composition techniques, color harmony between fore- and background is seldom considered. In this paper, an optimization method is proposed to deal with the color harmonization problem that used in image composition. A cost function is derived from the local smoothness of the hue values, and the image is harmonized by minimizing the cost function. A new matching cost function is proposed to select the best matching harmonic schemes. Our approach overcomes several shortcomings of the existing color harmonization methods. We validate the performance of our method and demonstrate its effectiveness with a variety of experiments.
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Khamraev, Kamiljon Ulmasovich. "STORY COMPOSITION AND EPIC IMAGE." Theoretical & Applied Science 60, no. 04 (April 30, 2018): 305–8. http://dx.doi.org/10.15863/tas.2018.04.60.55.

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Kuznetsova, Polina, Vicente Ordonez, Tamara L. Berg, and Yejin Choi. "TreeTalk: Composition and Compression of Trees for Image Descriptions." Transactions of the Association for Computational Linguistics 2 (December 2014): 351–62. http://dx.doi.org/10.1162/tacl_a_00188.

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We present a new tree based approach to composing expressive image descriptions that makes use of naturally occuring web images with captions. We investigate two related tasks: image caption generalization and generation, where the former is an optional subtask of the latter. The high-level idea of our approach is to harvest expressive phrases (as tree fragments) from existing image descriptions, then to compose a new description by selectively combining the extracted (and optionally pruned) tree fragments. Key algorithmic components are tree composition and compression, both integrating tree structure with sequence structure. Our proposed system attains significantly better performance than previous approaches for both image caption generalization and generation. In addition, our work is the first to show the empirical benefit of automatically generalized captions for composing natural image descriptions.
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Ourmazd, A., P. Schwander, C. Kisielowski, F. H. Baumann, and Y. Kim. "Measuring projected potential, thickness, and composition from lattice images." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 732–33. http://dx.doi.org/10.1017/s0424820100171390.

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Lattice images obtained by Transmission Electron Microscopy (TEM) are routinely used to infer the subsurface microstructure of crystalline materials. In principle, a lattice image is a map of the sample (Coulomb) potential, projected along a zone axis (see, e.g., [1]). In practice, it is difficult to extract quantitative information from lattice images. This stems from two primary reasons. First, electrons are multiply scattered during their passage through crystalline samples of realistic thickness (>10Å). This results in a complex, highly nonlinear relationship between the sample potential and the characteristics of the lattice image. This relationship changes rapidly with the sample thickness, and thus from point to point over the sample. Second, electromagnetic lenses have severe aberrations. The image details thus depend sensitively on the (contrast) transfer function of the microscope, and hence the lens defocus. It is not possible to establish a general relationship between the sample potential and the image features.
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Shemshurenko, Evgenii. "Means of harmonization of composition and optimization of the design of photographic images." Культура и искусство, no. 3 (March 2021): 66–72. http://dx.doi.org/10.7256/2454-0625.2021.3.32960.

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The subject of this research is such a means of harmonization of composition of the image in a plane as the contrast. The article assesses the possibility and factors of using contrast for increasing the attractiveness of the designed photographic image. The author reviews the examples of photo images with appropriate use of contrast; provides the research data on the perception[WU1]  of contrast by human visual system.; explores correlation between contrast and the conditions for a harmonious composition; as well as reviews the connection between the properties of compositional elements of photography and the components of visual perception, discovered by R. Barthes in his work “Camera Lucida”. The author carries out the analysis of photographic images; compares the empirical data on the study of perception of contrast by a human; applies the methods of induction and deduction in analyzing the acquitted results and comparing them with the characteristics of a harmonious composition. The author’s special contribution consists in comparison of the results of empirical research of perception of contrast by a human in the context of dependence of the sensitivity of human visual system on the size of observable alternating contrast lines and the size of the dominant in relation to the image field object of composition. It is proposed to use high contrasts of the elements of detail drawing for reaching harmonization of composition of the designed image elements.  [WU1]
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Hao, Fei, Song Qing Zhu, and Hai Tao Gao. "Gray Image Composition Method for Measurement Based on Multi-Software Cooperation." Advanced Materials Research 889-890 (February 2014): 1052–56. http://dx.doi.org/10.4028/www.scientific.net/amr.889-890.1052.

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One method named image synthesis was proposed for gray image composition to meet the requirement that algorithm research of machine vision needed a lot of images. Firstly, two modules, i.e., modeling module and camera module, of some engineering software were compared and images will be obtained by using three-dimensional modeling software cooperating with VRay plug-in. Then, parameter setting and adjustment for VRay plug-in was studied. Lastly, measurement experiments were carried out by using synthetic images. The experimental results demonstrate that 1μm measuring accuracy is possible under the condition that the distance between calibration part and camera was equal to that between parts and camera. The synthetic images can be used for algorithm research of machine vision.
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Cizmar, Petr, András E. Vladár, and Michael T. Postek. "Real-Time Scanning Charged-Particle Microscope Image Composition with Correction of Drift." Microscopy and Microanalysis 17, no. 2 (December 2, 2010): 302–8. http://dx.doi.org/10.1017/s1431927610094250.

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AbstractIn this article, a new scanning electron microscopy (SEM) image composition technique is described, which can significantly reduce drift related image corruptions. Drift distortion commonly causes blur and distortions in the SEM images. Such corruption ordinarily appears when conventional image-acquisition methods, i.e., “slow scan” and “fast scan,” are applied. The damage is often very significant; it may render images unusable for metrology applications, especially where subnanometer accuracy is required. The described correction technique works with a large number of quickly taken frames, which are properly aligned and then composed into a single image. Such image contains much less noise than the individual frames, while the blur and deformation is minimized. This technique also provides useful information about changes of the sample position in time, which may be applied to investigate the drift properties of the instrument without a need of additional equipment.
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Bi, Xiaohan, Huating Xu, Yuan Yao, and Hao Wu. "Semantic Validation Based Massive Image Composition." Procedia Computer Science 147 (2019): 605–12. http://dx.doi.org/10.1016/j.procs.2019.01.207.

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Tan, Xuehan, Panpan Xu, Shihui Guo, and Wencheng Wang. "Image Composition of Partially Occluded Objects." Computer Graphics Forum 38, no. 7 (October 2019): 641–50. http://dx.doi.org/10.1111/cgf.13867.

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Foley, James D., and Won Chul Kim. "Image Composition via Lookup Table Manipulation." IEEE Computer Graphics and Applications 7, no. 11 (November 1987): 26–35. http://dx.doi.org/10.1109/mcg.1987.277067.

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Guo, Y. W., M. Liu, T. T. Gu, and W. P. Wang. "Improving Photo Composition Elegantly: Considering Image Similarity During Composition Optimization." Computer Graphics Forum 31, no. 7 (September 2012): 2193–202. http://dx.doi.org/10.1111/j.1467-8659.2012.03212.x.

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16

Ourmazd, A., F. H. Baumann, M. Bode, and Y. Kim. "Quantitative chemical mapping: Spatial resolution." Proceedings, annual meeting, Electron Microscopy Society of America 49 (August 1991): 476–77. http://dx.doi.org/10.1017/s0424820100086684.

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Quantitative Chemical Mapping is an electron microscopic technique capable of revealing compositional variations in crystalline materials. It combines chemical lattice imaging which maps the sample composition, with vector pattern recognition, which quantifies the local information content of the image to measure the local sample composition. Here we briefly address the spatial resolution of this technique, assuming complete familiarity with its theoretical underpinnings.In chemical imaging, we are concerned with the way that a compositional inhomogeneity is imaged under conditions appropriate for chemical sensitivity, and how the pattern recognition algorithm extracts information from a chemical lattice image. The problem can be formulated as follows. Given a “chemical impulse” of a specific shape, such as a column of Al atoms imbedded in GaAs (approximating a δ-function), an abrupt interface (a θ-function), or a diffuse interface (e.g., with an error function profile), what is the shape of the impulse on the analyzed chemical image? Or, alternatively, what region of the sample contributes to the information content of an image unit cell? By reciprocity, these two formulations are equivalent.
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Zhang, Lei, Yang Jin, and Zhen Liu. "Generation of High Dynamic Range Image Based on Tone Composition of Multiple Images for Identical Scene." Advanced Materials Research 174 (December 2010): 132–35. http://dx.doi.org/10.4028/www.scientific.net/amr.174.132.

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A High Dynamic Range Image (HDRI) processing method is described, which multiple images of identical scene but with different exposure amount can be processed. The processing method is: A composite distribution, which is as target distribution of HDRI, is derived by pixel counts accumulation of the multiple original images. The accumulated distribution curve of target HDRI is then computed. To generate a composite image as original, a weighting method is used and the gray levels of pixels are calculated based on pixels in the multiple images. The tone distribution and the accumulative distribution curve are also obtained. Finally, using the accumulative distribution curve of the target image and of the composite image, a tone-converting curve is derived to transform the composite image to HDRI. The result shows that this method can make better use of gradation information of the original images. The tone range and the contrast of target image are extended.
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Xu, Chen, Yu Han, George Baciu, and Min Li. "Fabric image recolorization based on intrinsic image decomposition." Textile Research Journal 89, no. 17 (December 10, 2018): 3617–31. http://dx.doi.org/10.1177/0040517518817051.

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Fabric image recolorization is widely used in assisting designers to generate new color design proposals for fabric. In this paper, a new image recolorization method is proposed. Different from classical image recolorization methods, which need some complicated interactive operations from users, our proposed method can achieve automatic recolorization of images. The proposed method contains three sequential phases: a phase of extracting representative colors from fabric images; an image segmentation phase; and an image reconstruction phase by using given color themes. Integrated with intrinsic image decomposition, a new image segmentation model is designed in a variational framework, and an algorithm is given to solve the model. Our image recolorization results are images that are reconstructed by the composition of the image segmentation results and the given color themes. Numerical results demonstrate that our newly proposed intrinsic image decomposition-based image recolorization method can generate better results than the classical cartoon-and-texture decomposition-based method.
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Kirtley, Clare. "How Images Draw the Eye: An Eye-Tracking Study of Composition." Empirical Studies of the Arts 36, no. 1 (February 8, 2017): 41–70. http://dx.doi.org/10.1177/0276237417693564.

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In his instructional art book, Andrew Loomis provides images and corresponding diagrams that indicate how the composition of the image should guide the viewer's eye. Using these images, we examined whether participants would follow the suggested cues. Participants' eyes were tracked as they viewed the images, allowing us to take measures of where they entered and exited the image, whether they attended to the focal part of the image, and what path they followed between these components. These measures could then be compared with Loomis' suggestions, to determine if the elements did indeed have the proposed influence. While viewers were attracted to the focal points, and spent the most time examining these, they did not use the entry and exit points marked by Loomis, and the suggested viewing paths were not closely followed. It appears that Loomis' suggested elements of composition do not strongly influence viewers' eye movements.
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Chan, Chiu Ling, Cosmin Anitescu, Yongjie Zhang, and Timon Rabczuk. "Two and Three Dimensional Image Registration Based on B-Spline Composition and Level Sets." Communications in Computational Physics 21, no. 2 (February 2017): 600–622. http://dx.doi.org/10.4208/cicp.oa-2016-0042.

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AbstractAmethod for non-rigid image registration that is suitable for large deformations is presented. Conventional registration methods embed the image in a B-spline object, and the image is evolved by deforming the B-spline object. In this work, we represent the image using B-spline and deform the image using a composition approach. We also derive a computationally efficient algorithm for calculating the B-spline coefficients and gradients of the image by adopting ideas from signal processing using image filters. We demonstrate the application of our method on several different types of 2D and 3D images and compare it with existing methods.
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Luo, Xiaonan, Zhongming Zhao, Zhuo Su, and Yun Liang. "Multiple-cue saliency measurement and optimized image composition for image retargeting." Journal of Computational and Applied Mathematics 236, no. 5 (October 2011): 704–13. http://dx.doi.org/10.1016/j.cam.2011.06.022.

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Hrytsenko, Olha, Dmytro Hrytsenko, Vitaliy Shvalagin, Galyna Grodziuk, and Mikhail Kompanets. "The Use of Carbon Nanoparticles for Inkjet-Printed Functional Labels for Smart Packaging." Journal of Nanomaterials 2018 (July 2, 2018): 1–10. http://dx.doi.org/10.1155/2018/6485654.

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Smart packaging functions can be provided by printing functional labels onto packaging materials using inkjet printing and inks with changeable photoluminescence properties. Carbon nanoparticles are considered a perspective fluorescent component of such inks. Ink compositions based on carbon nanoparticles are developed and adapted for inkjet printing on paper packaging materials for producing smart packaging labels. The influence of technological factors of the printing process on the photoluminescence characteristics of the printed images is investigated. The main investigated factors are the concentration of carbon nanoparticles, the relative area of raster elements of a raster field of a tone image, the absorbance and surface smoothness of paper. The resulting parameters are photoluminescence intensity and color. It is found that in case of changes in surface smoothness and absorbance of paper and concentrations of carbon nanoparticles in the ink compositions, the photoluminescence intensity of a printed image changes while its photoluminescence color remains the same. To obtain the highest contrast of tone inkjet-printed images with carbon nanoparticles on papers with any absorbance, the highest concentration of carbon nanoparticles in the ink composition should be used. However, the highest contrast and the highest own photoluminescence intensity of a tone inkjet-printed image with inks with carbon nanoparticles can be achieved only on papers with the lowest absorbance. The most noticeable difference between photoluminescence intensity of printed images on papers with any absorbance can be obtained with the lower concentration of carbon nanoparticles in the ink composition (10 mg/mL). The optimum concentrations of carbon nanoparticles in the composition are determined: for papers with low absorbance—10 mg/mL, and for papers with medium and high absorbance—25 mg/mL. Analytical dependency is created for photoluminescence intensity of images printed with inkjet printing inks with carbon nanoparticles as a function of the studied technological factors. Some design solutions for photoluminescent labels are suggested.
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Jusman, Yessi, Siew Cheok Ng, and Noor Azuan Abu Osman. "Investigation of CPD and HMDS Sample Preparation Techniques for Cervical Cells in Developing Computer-Aided Screening System Based on FE-SEM/EDX." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/289817.

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This paper investigated the effects of critical-point drying (CPD) and hexamethyldisilazane (HMDS) sample preparation techniques for cervical cells on field emission scanning electron microscopy and energy dispersive X-ray (FE-SEM/EDX). We investigated the visualization of cervical cell image and elemental distribution on the cervical cell for two techniques of sample preparation. Using FE-SEM/EDX, the cervical cell images are captured and the cell element compositions are extracted for both sample preparation techniques. Cervical cell image quality, elemental composition, and processing time are considered for comparison of performances. Qualitatively, FE-SEM image based on HMDS preparation technique has better image quality than CPD technique in terms of degree of spread cell on the specimen and morphologic signs of cell deteriorations (i.e., existence of plate and pellet drying artifacts and membrane blebs). Quantitatively, with mapping and line scanning EDX analysis, carbon and oxygen element compositions in HMDS technique were higher than the CPD technique in terms of weight percentages. The HMDS technique has shorter processing time than the CPD technique. The results indicate that FE-SEM imaging, elemental composition, and processing time for sample preparation with the HMDS technique were better than CPD technique for cervical cell preparation technique for developing computer-aided screening system.
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Buchheit, Olivier, Claire Arnoult, Fatima Eddoumy, Doriane Del Frari, Jean Di Martino, and David Ruch. "COMBINING WLI AND SEM TECHNIQUES TO OBTAIN A 4D SURFACE IMAGE OF A ppHDMSO/AlCeO3 NANOCOMPOSITE." Image Analysis & Stereology 29, no. 1 (May 3, 2011): 27. http://dx.doi.org/10.5566/ias.v29.p27-34.

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Compositional images from a SEM (scanning electron microscope) are sometimes complemented by quantitative topographical data from devices such as an AFM (atomic force microscope) or WLI (white light interferometer). Indeed, even if a SEM could provide both kinds of information (composition and topography), the topographical data are incomplete because the SEM does not allow measuring the vertical dimension (i.e., perpendicular to the measurement plane). Thus these two kinds of information are usually measured using two different techniques, and at different locations on the sample. Mean values of surface composition are then linked to mean values of topography, and as a consequence this approach does not allow precisely linking a local topographical peak to its corresponding composition. The present work deals with a SEM/WLI combination methodology, based on the characterization, at the same location, of a nanocomposite (nanoparticles of AlCeO3 dispersed in a plasma-polymerized hexamethyldisiloxane ppHMDSO matrix and deposited by atmospheric plasma on a glass substrate) developed for improving anticorrosion properties. SEM images allow the supposition that the protuberances (peaks) observed on the surface of a specimen are linked to the nanoparticles dispersed in the polymer coating, but this link is not fully convincing. Thanks to a precise localization method, SEM compositional data and WLI topographical data are here measured at the same location. The recombination of both signals to form a 4D image (3D geometry and 1D composition) allows linking protuberances to nanoparticles aggregates without ambiguity. This composite image appears to be an interesting new tool (at the scale of observation, i.e., hundreds of micrometers) for the study of nanostructured coatings.
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Baek, Eu-Tteum, and Yo-Sung Ho. "Stereo Image Composition Using Poisson Object Editing." Journal of Korea Information and Communications Society 39A, no. 8 (August 31, 2014): 453–58. http://dx.doi.org/10.7840/kics.2014.39a.8.453.

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Huang, Y. P. "Image composition for two-piece DRD cans." Journal of Materials Processing Technology 86, no. 1-3 (February 1999): 264–70. http://dx.doi.org/10.1016/s0924-0136(98)00326-4.

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Hrušková, M., I. Švec, T. Hofmanová, and J. Dvořáková. "Image Analysis – Comparison of Recipe Composition Effect." Procedia Engineering 42 (2012): 955–63. http://dx.doi.org/10.1016/j.proeng.2012.07.489.

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Liang, Xiaodan, Na Lin, Hanning Chen, and Wenxin Liu. "Intelligent Image Segment for Material Composition Detection." MATEC Web of Conferences 100 (2017): 04026. http://dx.doi.org/10.1051/matecconf/201710004026.

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Xie, Zhifeng, Qingliang Lin, Rynson W. H. Lau, Lizhuang Ma, and Zhihua Chen. "Sharpness Transfer for High-Quality Image Composition." Advanced Science Letters 10, no. 1 (May 15, 2012): 435–42. http://dx.doi.org/10.1166/asl.2012.3340.

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Molnar, Steven, John Eyles, and John Poulton. "PixelFlow: high-speed rendering using image composition." ACM SIGGRAPH Computer Graphics 26, no. 2 (July 1992): 231–40. http://dx.doi.org/10.1145/142920.134067.

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Wen, J., B. Zhang, C. Pan, and X. Zhang. "Image composition by constraining responses of filters." IET Image Processing 6, no. 1 (2012): 11. http://dx.doi.org/10.1049/iet-ipr.2009.0129.

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Dai, Qinyan, Faming Fang, Juncheng Li, Guixu Zhang, and Aimin Zhou. "Edge-guided Composition Network for Image Stitching." Pattern Recognition 118 (October 2021): 108019. http://dx.doi.org/10.1016/j.patcog.2021.108019.

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Janayev, M. B. "Innovative and Methodological Framework Learning Image Composition." Culture Space of Russian World 5, no. 1 (2021): 49–55. http://dx.doi.org/10.24147/2782-2532.2021.5(1).49-55.

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Dimitrova, Elizabeta. "On the donors' composition and the new dating of the fresco painting of the Church of the Holy Virgin in Mateic." Zograf, no. 29 (2002): 181–90. http://dx.doi.org/10.2298/zog0329181d.

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The painted decoration of the Church of the Holy Virgin in Mateic, the second largest fresco ensemble from the 14th century in the Balkans' region comprises one of the most interesting donors' compositions of the Late-Byzantine period. The figures comprised by the donors' composition are united by the conception of the Deesis scene, composed by the image of Christ in the lunette of the southern wall, the representation of the Virgin Hodegetria above the entrance to the diaconicon and the figure of John the Baptist, depicted in the southern part of the eastern wall of the naos. The broader context of the donor's composition, in addition to the images of the donors - tzarina Jelena and young king Uros, who in the presence of tzar Dusan, present the model of their endowment to the patron saint, contains also the image of the patriarch Joanikije, depicted as the head of Serbian Orthodox Church. Within the donor's composition, one can see the images of Makarije, the abbot of the monastery and St. Stephan the great martyr dressed in deacon attire, represented with his traditional role as a defender of the rulers and donors from the Nemanjic dynasty...
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Ourmazd, A., F. H. Baumann, Y. Kim, C. Kisielowski, and P. Schwander. "Mapping the composition of materials at the atomic level." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 2 (August 1992): 1474–75. http://dx.doi.org/10.1017/s0424820100132005.

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This paper briefly outlines how transmission electron microscopic lattice imaging techniques can be used to map the composition of crystalline materials at the atomic level.Under appropriate conditions, a conventional lattice image is a map of the sample structure, because the dominant reflections used to form lattice images are relatively insensitive to compositional changes in the sample. Such reflections may be termed “structural”. In many cystalline materials, compositional changes occur by atomic substitution on a particular subset of lattice sites. In these systems, compositional changes are accompanied by the appearance of reflections, which we name “chemical”. Such reflections, for example the (200) in the zinc-blende structure, owe their existence to chemical differences between the various atomic species present on the different lattice sites. For fundamental reasons these reflections are often weak; they come about because of incomplete cancellation of out of phase contributions from different sublattices. “Chemical lattice imaging” exploits dynamical scattering to maximize the intensity of such reflections, and uses the objective lens as a bandpass filter to enhance their contribution to the image.
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Fortin, Maryse, and Michele C. Battié. "Quantitative Paraspinal Muscle Measurements: Inter-Software Reliability and Agreement Using OsiriX and ImageJ." Physical Therapy 92, no. 6 (March 8, 2012): 853–64. http://dx.doi.org/10.2522/ptj.20110380.

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Background Variations in paraspinal muscle cross-sectional area (CSA) and composition, particularly of the multifidus muscle, have been of interest with respect to risk of, and recovery from, low back pain problems. Several investigators have reported on the reliability of such muscle measurements using various protocols and image analysis programs. However, there is no standard protocol for tissue segmentation, nor has there been an investigation of reliability or agreement of measurements using different software. Objective The purpose of this study was to provide a detailed muscle measurement protocol and determine the reliability and agreement of associated paraspinal muscle composition measurements obtained with 2 commonly used image analysis programs: OsiriX and ImageJ. Design This was a measurement reliability study. Methods Lumbar magnetic resonance images of 30 individuals were randomly selected from a cohort of patients with various low back conditions. Muscle CSA and composition measurements were acquired from axial T2-weighted magnetic resonance images of the multifidus muscle, the erector spinae muscle, and the 2 muscles combined at L4–L5 and S1 for each participant. All measurements were repeated twice using each software program, at least 5 days apart. The assessor was blinded to all earlier measurements. Results The intrarater reliability and standard error of measurement (SEM) were comparable for most measurements obtained using OsiriX or ImageJ, with reliability coefficients (intraclass correlation coefficients [ICCs]) varying between .77 and .99 for OsiriX and .78 and .99 for ImageJ. There was similarly excellent agreement between muscle composition measurements using the 2 software applications (inter-software ICCs=.81–.99). Limitations The high degree of inter-software measurement reliability may not generalize to protocols using other commercial or custom-made software. Conclusion The proposed method to investigate paraspinal muscle CSA, composition, and side-to-side asymmetry was highly reliable, with excellent agreement between the 2 software programs.
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Kanzawa, Yusuke, Hiroki Kobayashi, Takenao Ohkawa, and Toshio Ito. "Low-Resolution Vehicle Image Recognition Technology by Frame-Composition of Moving Images." IEEJ Transactions on Electronics, Information and Systems 128, no. 7 (2008): 1096–101. http://dx.doi.org/10.1541/ieejeiss.128.1096.

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38

Hyung Il Koo, Jinho Kim, and Nam Ik Cho. "Composition of a Dewarped and Enhanced Document Image From Two View Images." IEEE Transactions on Image Processing 18, no. 7 (July 2009): 1551–62. http://dx.doi.org/10.1109/tip.2009.2019301.

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39

Kanzawa, Yusuke, Hiroki Kobayashi, Takenao Ohkawa, and Toshio Ito. "Low-resolution vehicle image recognition technology by frame composition of moving images." Electronics and Communications in Japan 93, no. 3 (March 2010): 1–7. http://dx.doi.org/10.1002/ecj.10246.

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40

Li, Zhe, Xiao Han, Liya Wang, Tongyi Zhu, and Futian Yuan. "Feature Extraction and Image Retrieval of Landscape Images Based on Image Processing." Traitement du Signal 37, no. 6 (December 31, 2020): 1009–18. http://dx.doi.org/10.18280/ts.370613.

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Facing the existing digital image libraries on landscape, researchers need to urgently solve a challenging problem: how to realize rational management and accurate retrieval of landscape images that contain feature information like hierarchy, layout, color system, and color matching. For accurate organization and labeling of landscape Images, this paper presents a novel method for feature extraction and image retrieval of landscape images based on image processing. Firstly, a color quantization process was designed for landscape images, and used to analyze the color composition and color space pattern (CSP) of such images. Next, the existing methods, which are suitable for the extraction of color features from landscape Images, were briefly reviewed, and the basic flows of our improved algorithm and division method of landscape color blocks (LCBs) were explained. Finally, the retrieval performance of landscape images was improved by matching of weighted color blocks of regional landscape, based on the multi-dimensional color eigenvectors of landscape image. The experimental results demonstrate the effectiveness of our algorithm. The research results shed light on the feature extraction from other types of color images.
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41

Di Martino, Ferdinando, and Salvatore Sessa. "Image Matching by Using Fuzzy Transforms." Advances in Fuzzy Systems 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/760704.

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We apply the concept of Fuzzy Transform (for short, F-transform) for improving the results of the image matching based on the Greatest Eigen Fuzzy Set (for short, GEFS) with respect to max-min composition and the Smallest Eigen Fuzzy Set (for short, SEFS) with respect to min-max composition already studied in the literature. The direct F-transform of an image can be compared with the direct F-transform of a sample image to be matched and we use suitable indexes to measure the grade of similarity between the two images. We make our experiments on the image dataset extracted from the well-known Prima Project View Sphere Database, comparing the results obtained with this method with that one based on the GEFS and SEFS. Other experiments are performed on frames of videos extracted from the Ohio State University dataset.
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42

Adaskina, A. A. "Sense of Composition as Indicator of Artistic Imagination." Psychological-Educational Studies 9, no. 4 (2017): 51–64. http://dx.doi.org/10.17759/psyedu.2017090406.

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The aim of the research presented in this article is to study the role of the sense of composition in the structure of artistic imagination. Based on the analysis of different researches this article interprets the artistic imagination as an independent process aimed at creating an artistic image correlated with the material, anticipating genre, composition and stylistic features. This process includes such aspects as purpose, sense of material and sense of composition. The article presents the data of the first approbation of two methods which diagnose “sense of composition” (“Spot” and “Sheet of paper”). 33 students took part in the approbation (14 of them were students of the art faculty, 19 of them were a control group). As experts in the study participated 3 art сritics. The results of approbation of the methods of diagnostics of compositional thinking ("sense of composition") showed a significant connection between the compositional characteristics of the image and its expressiveness.
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43

Kang, Seon-Do, Hun-Woo Yoo, Young-Geun Shin, and Dong-Sik Jang. "Automatic Extraction of Major Object in the Image based on Image Composition." Journal of the Korea Contents Association 8, no. 3 (March 31, 2008): 8–17. http://dx.doi.org/10.5392/jkca.2008.8.3.008.

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44

Matsuyama, Takashi. "Expert systems for image processing: Knowledge-based composition of image analysis processes." Computer Vision, Graphics, and Image Processing 48, no. 1 (October 1989): 22–49. http://dx.doi.org/10.1016/0734-189x(89)90103-5.

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45

Aliyev, Yelchin, and Vitaliy Yaropud. "DETERMINATION OF THE FRACTIONAL COMPOSITION OF SEEDS BY PHOTO IMAGE." Vibrations in engineering and technology, no. 3(94) (November 26, 2019): 102–9. http://dx.doi.org/10.37128/2306-8744-2019-3-13.

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The shape and size of seeds are some of the most important agronomic traits, as they affect yield, quality and market price. Therefore, such branches of science as genetics, functional analysis, and genomics, which contribute to increasing yields, study programs for crossing plants with various morphological and marker characters. Therefore, there is a need for effective, reliable and high-performance methods of seed phenotyping. The shape of the seeds can be evaluated in two ways. A simple way is to measure the length and width of seeds using a hand-held measuring tool (ruler, caliper, micrometer, etc.). However, manual methods limit the amount of data, the quality of measurements, and the variety of forms. On the contrary, computational methods using digital imaging technology can make it possible to automatically measure various shape parameters at very small sizes in high-resolution images. The aim of the research is to substantiate the algorithm and develop appropriate software for determining the fractional composition of seeds from a photo image. As a result of the studies, a justified algorithm was developed and the corresponding software was developed for determining the fractional composition of seeds from photo images based on its conversion from 24-bit (full color) to 1-bit (black and white) using the segmentation method, processing based on morphological operations and with using the Kenny border detector and the Hough transform to automatically determine the contour of each seed in a 1-bit image, followed by calculating the length L, width B, area S, and perimeter length P seed
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MAHALINGAM, K., K. G. EYINK, G. J. BROWN, and D. L. DORSEY. "APPLICATION OF EXIT-PLANE WAVE FUNCTION IMAGES IN HIGH-RESOLUTION TRANSMISSION ELECTRON MICROSCOPY FOR QUANTITATIVE ANALYSIS OF III–V SEMICONDUCTOR INTERFACES." International Journal of Nanoscience 03, no. 06 (December 2004): 723–28. http://dx.doi.org/10.1142/s0219581x04002668.

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An image simulation study is performed to investigate the applicability of exit-plane wave function (EPWF) images for an atomic-level compositional mapping of interfaces in the GaAs – AlAs system. A simple procedure for quantifying the composition across an interface, which is based on the method of factorial analysis of correspondence is proposed. A test of this procedure on a simulated EPWF-phase image of Al 0.4 Ga 0.6 As/GaAs/Al 0.4 Ga 0.6 As structure, with an atomically abrupt interface on one side and a graded interface on the other, yields profiles which mimic the model-profiles.
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47

Caskenette, Stephanie. "Reading and relating: Digitally tracing human groupings in the illustrations of the Utrecht Psalter." SURG Journal 7, no. 1 (February 6, 2014): 17–22. http://dx.doi.org/10.21083/surg.v7i1.2824.

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Within the illustrations of the ninth century Utrecht Psalter, groupings of multiple people with no imperative role in the narrative are found in large numbers. This inclusion is unique and with clear intention, and unlike other non-essential pictorial elements in the composition such as foliage or buildings, all of these figures are drawn to completion. As the images in the Utrecht Psalter show consistency in their measurements on the page, as well as through the scale of elements within the actual illustrations, direct comparisons can be made on how these figures are employed in the scene. By using digital applications to create a compositional overlay of all these groups, a concentration of figures on the left and right sides of the image is observed. This article suggests that such an arrangement provides a readable image, with human groups added in order to encourage engagement with the text of the Psalter and aid in remembering its messages. Keywords: Utrecht Psalter; medieval literacy; manuscript illustration; image composition; digital humanities; artwork engagement
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48

Takama, Yasufumi, and Keisuke Shigemori. "Abstract Image Generation Based on Local Similarity Pattern." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 3 (March 20, 2007): 294–300. http://dx.doi.org/10.20965/jaciii.2007.p0294.

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The method for generating abstract images from a set of images is proposed. The method selects a representative image from a given set of images, in which the common features in terms of the composition are highlighted with image processing techniques. Common features are extracted based on Local Similarity Pattern (LSP), which has been originally proposed for image retrieval. The selection of representative images is performed based on the difference between the color histogram calculated from a set of regions, of which color features are common, and that calculated from the remaining regions. The experimental results show the performance of the proposed method, in terms of its effectiveness for image classification, as well as the accuracy of selecting representative images. The concept of abstract images is expected to be useful for developing a directory service for searching images on the Web.
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Bouida, Ahmed, Mohammed Beladgham, Abdesselam Bassou, Ismahane Benyahia, Abdelmalek Ahmed-Taleb, Imene Haouam, and Miloud Kamline. "Evaluation of Textural Degradation in Compressed Medical and Biometric Images by Analyzing Image Texture Features and Edges." Traitement du Signal 37, no. 5 (November 25, 2020): 753–62. http://dx.doi.org/10.18280/ts.370507.

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The importance of image compression is now essential during transmission or storage processes in various data applications, especially in medical and biometric systems. To perform the effectiveness of the compression process on images and evaluate degradation caused by this process, image quality assessment becomes an important tool in image services. We note that the objective criteria in image quality depend especially on the image type and image texture composition. The actual tendency is to find metrics making better qualification on errors in compressed images and correlate with the human visual system. This paper presents an investigation to examine and evaluate image compression degradation by the use of a new tendency concept of image quality assessment based on texture and edge analysis. To perform and practice this evaluation, we compress the medical and biometric images using second-generation wavelet compression algorithms and study the degradation of texture information in these images.
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Wang, Wencheng, Panpan Xu, Xiaohui Bie, and Miao Hua. "Enhanced Use of Mattes for Easy Image Composition." IEEE Transactions on Image Processing 25, no. 10 (October 2016): 4608–16. http://dx.doi.org/10.1109/tip.2016.2593345.

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