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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.
Illustration of a Clipping window ABCD is placed as follows: A (100, 10), B (160, 10, C (160, 40), D (100, 40) By using Sutherland-Cohen clipping algorithm determine the vis
Cases for Digital Differential Analyzer Algorithm 1) If in case 1, we plot the line another way round that is, moving in y direction via 1 unit every time and after that hunt
To find out average unit normal vector at each polygon vertex At each polygon vertex as demonstrated by point V in the figure above, the normal vector is acquired by averaging
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Mapping of a Fraction -Windowing Transformations The mapping of a fraction of a world coordinate scene to device coordinates is considered to as Viewing Transformation. In com
working of crt
Plane equation - spatial orientation of the Surface Element For some of Plane equation procedures, we have information regarding the spatial orientation of the individual surf
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multimedia
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