Why tessellation image looks comfortable? These shapes are usually made up of smaller pieces that fit together seamlessly to create a continuous pattern. The shapes used can be squares, triangles, hexagons, or more complex shapes. In brief, pattern tessellation refers to how shapes fit together to fill a plane without gaps. 665–668.It seems hard to describe this amazing thing with one definition – when we mention tessellation image, we tend to associate it with words such as texture background, seamless pattern, mosaic, decoration, vector, colorful, paisley, … In: 2012 19th IEEE International Conference on Image Processing, pp. Liu, X., Tanaka, M., Okutomi, M.: Noise level estimation using weak textured patches of a single noisy image. Pal, S.K., Anand, S.: Cryptography based on RGB color channels using ANNs. Prasad, L., Skourikhine, A.N.: Vectorized image segmentation via trixel agglomeration. Morell, V., Orts, S., Cazorla, M., Garcia-Rodriguez, J.: Geometric 3D point cloud compression. Toivanen, P.J., Vepsäläinen, A.M., Parkkinen, J.P.: Image compression using the distance transform on curved space (DTOCS) and Delaunay triangulation. Wang, X., Tang, Q., Chen, Z., Luo, Y., Fu, H., Li, X.: Estimating and evaluating the rice cluster distribution uniformity with UAV-based images. Song, Y., Köser, K., Kwasnitschka, T., Koch, R.: Iterative refinement for underwater 3D reconstruction: application to disposed underwater munitions in the Baltic sea. Shaik, M., Meena, P., Basha, S., Lavanya, N.: Color Balance for underwater image enhancement. Ghate, S.N., Nikose, M.D.: Recent trends and challenges in Image Enhancement Techniques for Underwater Photography. Plants 9(11), 1613 (2020)īeaulieu-Laroche, L., et al.: TACAN is an ion channel involved in sensing mechanical pain. IGI Global (2012)Ĭarrasco, M., Toledo, P.A., Velázquez, R., Bruno, O.M.: Automatic stomatal segmentation based on Delaunay-Rayleigh frequency distance. In: Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis, pp.
Peng, Y., Jiang, Y., Yang, X.J.: Computer-aided image analysis and detection of prostate cancer: using immunostaining for Alpha-Methylacyl-CoA Racemase, p63, and high-molecular-weight cytokeratin. Li, X.: Circular probabilistic based color processing: applications in digital pathology image analysis. Selimović, F., Stanimirović, P., Saračević, M., Krtolica, P.: Application of Delaunay triangulation and Catalan objects in steganography. Kumar, M., Mishra, D.C., Sharma, R.K.: A first approach on an RGB image encryption. In our research, it has been shown experimentally that instead of keeping the vertex coordinates and color of all triangles forming the triangulation, it is sufficient to keep one-third of it, and it is more advantageous in terms of sizing to keep the color of a certain number of clusters instead of keeping the colors of all triangles. Image channels are generally used in areas such as improving underwater photographs, identifying disease in computer aided diagnosis, and cryptography, but the advantages of transmitting and storing image data have not been adequately investigated. Different tessellation, point selection and coloring techniques were used for the research, and which technique was better at which point and the advantages it provided were investigated. In this study, it is investigated whether separate triangulation of the RGB components that make up the image would be more efficient in terms of size and quality than direct triangulation of the main image.
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