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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.
QUESTION (a) What is the difference between kerning and tracking? (b) What is the advantage of creating colours in the Swatches panel instead of the Colour panel? (c) Wha
what is interlaced and non interlaced?
Advantages of Scan line Algorithm: This time and always we are working along with one-dimensional array as: x[0...x_max] for color not a 2D-array like in Z-buffer algorithm.
Explain about the Computer Based Training CBT makes use of a computer system to train people in numerous applications. It makes use of self-assessment and multimedia with minim
What is persistence? The time it takes the emitted light from the screen to decompose one tenth of its original intensity is known as persistence.
OBJECTIVE Since graphics plays a very important role in modern computer application, it is important to know more information about its hardware and software operations. Despite
Define transformation. Explain all basic transformation
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 are the advertising effects of scan conversion
Write the Liang B arsky line clipping algorithm. Why is Liang Barsky algorithm more efficient than the Cohen Sutherland algorithm? Liang Barsky Line Clipping: Faster line cl
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