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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.
Polygon or Area Clipping Algorithm - Sutherland-Hodgman Algorithm There are different algorithms as Liang-Barsky, Line clipping, Weiler-Atherton Polygon Clipping,
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In contrast to depth-buffer method, here we identify one surface at one time, scan-line method deals along with multiple surfaces. Since it processes each scan-line at one time, al
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Explain the 3d transformations
Figure uses three dashed arcs and one small circle. Dashed line or arc is a style attribute that can be attached with a line or a curve. In OpenGL you can use the line stipple func
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Types of Graphic Images: Graphic images have been processed through a computer can generally be divided in two distinct categories. That image is either bitmap files or vecto
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