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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 the need of homogeneous coordinates? To perform more than one transformation at a time, use homogeneous coordinates or matrixes. They decrease unwanted calculations in
Steps for clip a line segment-PQ Initially, find all the points of intersections of the line segment PQ along with the edges of the polygonal window and describe them eith
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Use of Interactive Multimedia in Education Virtual reality, where 3-D experimental training can simulate real situations. Computer simulations of things too expensive,
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Image Processing New digital technology has made this possible for the manipulation of multi- dimensional signals along with systems which range from easy digital circuits to
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