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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.
applications of visualization
What are the advantages of laser printer High speed, precision and economy. Quality printers. .Cheap to handle Lasts for longer time.
Introduction of Visible Surface Detection For displaying a realistic presentation of the given 3Dimentional object, hidden surfaces and hidden lines should be identified fo
Step1: Read a text file which we want to hide. Step2: Transform it into an array of its binary value. Step3: Transform this array into its equivalent one dimensional array
working of crt
Explain the 3d transformations
Example: Exemplify the Bresenham line generation algorithm through digitizing the line along with end points (20, 10) and (30, 18) Solution: m = (y2 - y1)/( x2 - x1) =
Magnify a triangle with vertices A = (1,1), B = (3,1) and C = (2,2) to twice its size in such a way that A remains in its original position. Answer: You need to apply scaling b
Uncompressed / Common Audio Format There is one main uncompressed audio format: PCM. It is generally stored like a .wav on Windows. WAV is file format which is flexible and des
QUESTION (a) Suppose that you have been assigned to re-engineer the existing systems for a company. Do you think that design patterns can be applied to these existing systems?
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