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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.
diffrence between vecgen and bresenham'' s algorithams
Performing rotation about an Axis For performing rotation about an axis parallel to one of the coordinate axes (say z-axis), you first need to translate the axis (and hence the
List out the merits and demerits of DVST? The merits and demerits of direct view storage tubes [DVST] are as follows It has a flat screen Refreshing of screen is
short note on shading
Mapping of a Fraction -Windowing Transformations The mapping of a fraction of a world coordinate scene to device coordinates is considered to as Viewing Transformation. In com
Traditional Animation techniques as: 1) Key Frames 2) Cel Animation Formula: Required Key frames for a film = {[Time(in seconds)]
one word qustion
Important points about the illumination Model An illumination model is also termed as lighting model and sometimes considered to as shading model, that is utilized to compute
QUESTION 1 (a) Write a run method in Image J environment for the following cases Contrast and Brightness Histogram Generation Histogram Equalisation (b)
Merits -Phong shading or Normal Vector Interpolation Shading Hence by finding intensities at various points across the edge we determine the intensity that is varying across t
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