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The image classification is the process to categorize images into one of several classes or categories. In this project, there are seven categories (Piano, Kangaroo, Strawberry, Sunflower, Airplane, Face and Leopard). Classification requires training for each image category. The image categories are learned through a training process and an image is annotated in terms of the learned categories. Figure 1 shows the overall process of the image classification. This image classification can be used for automatic generation of keyword metadata and for efficient searching and leverage of archived content.
What is shearing? The shearing transformation actually slants the object with the X direction or the Y direction as needed.ie; this transformation slants the shape of an obje
Homogeneous Coordinate Systems - 2-d and 3-d transformations Suppose P(x,y) be any point in 2-D Euclidean (Cartesian) system. In HC System, we add a third coordinate to a poin
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Essentialily of Computer Simulation You may want to understand why to do simulation? Is there any one way to perform the tasks? To converse these matters lets briefly discuss
Characteristics of Bitmap Data: Bitmap data can take up many rooms. A CMYK A-4 size picture which is optimized for medium quality printing (150 lpi) takes up 40 Mage Bytes. Compre
Midpoint Circle Generation Algorithm Just as a line drawing algorithm approximates infinite number of points on a line segment by only a finite number of pixels, a circle dra
Functioning of hardcopy devices and Output primitives 1. Functioning of hardcopy devices-laser printers and dot matrix printers, plotters. 2. Output primitives: Graphics
Introduction of Curves and Surfaces This section has covered the methods of generating polygons, closed and curves surfaces. Under those methods we have discussed different ty
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Polygonal Meshes - Clipping and 3D Primitives Apart from polygonal surfaces, polygonal meshes are also used extensively in 3D geometric modelling.A mesh is essentially a polyg
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