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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.
Geographic Information Systems (GIS): The most generally utilized software is: ArcMap . Characteristics: I. Works inside a geographic context. II. Great
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Hue and Saturation: A light source produced by a sun or electric bulb emits all frequencies within the visible range to give white light. When this light is incident upon an objec
Algorithms for filled-area primitives These algorithms are classified into two categories (i) Scan line algorithms (ii) Seed fill algorithms.
Scan conversion: For display of a continuously defined object, a method to map a continuous abstract object or shape into a discrete plane of computer display is needed. This
Projections - Viewing Transformation Specified 3-D object in a space, Projection can be explained as a mapping of 3-D object into 2-D viewing screen. Now, 2-D screen is termed
Explain depth buffer method
Education courses, skills, and knowledge are sometimes taught of context because of lack of application of real time examples. To resolve this, educators are using multimedia to br
3DStudio Max -Softwares for computer animation The successor to 3-DStudio 3.0, 3-DStudio Max runs in WindowsNT. This is completely object-oriented, featuring new enhancements a
explain vecgen algoritham
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