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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.
Various cases of Cohen Sutherland Line Clippings Currently, we study how this clipping algorithm works. For the sake of simplicity we will tackle all the cases with the assist
Single Point Perspective Transformation - Viewing Transformations In order to derive the particular point perspective transformations beside the x and y-axes, we construct fi
What does refreshing of the screen mean? Some method is required for maintaining the picture on the screen. Refreshing of screen is completed by keeping the phosphorus glowing
WHAT IS PAINTERS ALGORITHM?
what are the steps involved in 3d transformation explain
Input and Hardcopy Devices This section gives a brief introduction to the functioning of some well known input and hardcopy devices. Input devices include keyboard, mouse, sca
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explain interactive picture-construction techniques
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Explain application areas of computer graphics in different areas. Early computer graphics has only certain special capabilities such as straight lines circles and ellipses
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