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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.
Archeology: along with the advent of the computer, the archeologist has obtained a new tool, computer animation. An object-model can be made comparatively quick and without any we
Important Points about the Curve segment - properties of bezier curves Note : if P (u) → = Bezier curve of sequence n and Q (u) → Bezier curve of sequence m. After that Co
2D Clipping Algorithms Clipping is an operation that eliminates invisible objects from the view window. To understand clipping, recall that when we take a snapshot of a scene,
what is fixed point scaling? how composit transformation techniques works on it
crt is an analog or digital device
1. Explain the Bresenham line generation algorithm via digitizing the line with end points as (15, 5) and also (25,13). Ans. Now we are utilizing the Bresenham line generati
what is dda
Construction of a Solid with a Translational Sweep Figure demonstrates construction of a solid along with a translational sweep. Translating the control points of the periodic
Benefits of Computer Simulation The benefit of Simulation is: even for simply solvable linear systems: a uniform model execution technique can be utilized to resolve a large v
Two Modes of Operation of Tablets Tablets typically sustain two modes of operation as: 1) Digitizer Mode: creates a one-for-one connection between screen and tablet.
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