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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.
Interrupts - Event driven devices Interrupts: An option to polling is the interrupt feature. The device sends an interrupt signal to the processor while an event happens. T
LCD - Liquid Crystal Display A liquid crystal display consists of two glass plates each containing a light polarizer. One glass plate contains vertical polarizer and the ot
what is graphical notation
short note on shading
a__________of a scene is apart of a scene by which relate one part of the scene with the other parts of the scene
What is seed fill? One way to fill a polygon is to begin from a given point (seed) known to be inside the polygon and highlight outward from this point i.e. neighboring pixel
what the types of character generation
vecgen algorithm
Polygon Tables - curves and surfaces All polygons are analogous to a graph G (V, E). Remember that the analogy in which a polygon surface can be specified along with as a set
What is the best selection method in photoshop
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