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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.
Morphing - Key Frame Systems Transformation of object shapes from one form to the other is termed as morphing as short form of metamorphism. This method can be applied to any o
MPEG-2 : MPEG-2 that is Moving Picture Experts Group format 2 is the standard used through DVD and is of a much higher quality than MPEG- 1. This format gives for 720 x 480 resolu
Bresenham Line Generation Algorithm This algorithm is exact and efficient raster line generation algorithm. Such algorithm scan converts lines utilizing only incremental integ
Similarly we can control the intensity of colours We contain more bit planes for all colour say three bit planes for R, 3 for G and 3 for B here all bit plane of size mxn, hen
Orientation Dependence - Modeling and Rendering The outcomes of interpolated-shading models are dependent of the projected polygon's orientation. Because values are interpolat
2-DIMENSIONAL TRANSFORMATION Modeling transformation is the mechanism to compose an image from modeling primitives. The modeling primitives are defined in their own coordinate
Can you list at least three important applications of computer graphics? There are lots of interesting applications of computer graphics. Three common applications are compute
what is normalization transformation?why is it needed and important?give simple example also.
Visible Surface Detection - Modeling and Rendering Provided a set of 3-Dimentional objects and a viewing position for the generation of realistic graphics show, we want to de
properties that helps in reducing efforts
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