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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.
short note on shading
Objectives of Three dimensional transformations explain basic 3D transformations-translation, rotation, scaling, shear and reflections-applied to objects in space; ex
AVI CODEC Formats: Various AVI file formats other than the DV Types 1 and 2 formats are there discussed earlier. All such the other formats involve the utilization of Compressor o
Combination of Positive and Negative Accelerations Actually, it is not that a body once decelerated or accelerated will remain so, although the motion may include both speed-up
Algorithms for Basic Line Segment Plotting There are two important algorithms for basic line segment plotting-DDA algorithm and Bresenham algorithm. Both the algorithms use th
Perspective Distortion - Polygon Rendering and Ray Tracing Methods Anomalies are introduced since interpolation is performed after perspective transformation in the 3-D scree
Picture Information - Raster Graphics and Clipping Now, the picture information is accumulated in the form of bit plans on which all bit plane complete information of pictur
Explain working of CRT
Question: (a) Using suitable examples, explain the following basic principles of design: (i) Proximity (ii) Repetition (iii) Contrast (iv) Alignment. (b) Color h
10 Knowledge Management checklist
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