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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.
Web-based Services: Commonly utilized software is: Protected Area Archive characteristics: Image display, roam, zoom and Image enhancement. Simple image processing.
Intensity of Specular Reflection - Modeling and Rendering Intensity of specular reflection based upon material properties of surface and the angle of incidence and the value o
find out points to the given control points
Raster and random scan displays In Raster scan displays, whole screen is refreshed a number of times in a second to keep the picture visible on the screen. This is called refre
Explain the term- Control Traffic lights (controlling the sequence of lights to maintain optimum traffic flow), chemical and nuclear plants (opening and closing valves, safety
explain about raster in cg
Printing Press discovered in 16th century: Books provided more role models & multiple perspectives. Exposure to books demanded that learners employ critical thinking to r
Scan Conversion of Line with the slope (0 Currently the pixel positions beside the line path are determined through sampling at Unit x intervals that is, starting from the fi
Describe briefly Sutherland Cohen line clipping algorithm. OR Describe Cohen Sutherland line clipping algorithm. Cohen Sutherland line clipping algorithm In this algorith
The transformation regarding to the mirror reflection to this line L comprises the subsequent basic transformations: 1) Translate the intersection point A(0,c) to the origin, it
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