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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.
Important Points for Windowing Transformations 1. Window explains what is to be viewed and viewpoint describes where it is to be displayed. 2. Frequently window and viewpoi
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2-dimensional xy-shearing transformation, as explained in equation (19), can also be simply extended to 3-dimensional case. All coordinates are translated as a function of displace
Clipping and 3D Primitives This unit introduces you to three important concepts of Computer Graphics. After that discusses the concept of clipping, which means removal of objec
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Objectives-Multimedia After going through this section, you should be capable to: explain hypertext and hypermedia ideas, illustrate how multimedia applications are
Other File Formats BMP/DIB/RLE File Formats These are termed as device independent bitmap files. They exist in two various type formats: a) OS2 format and b) Windows
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Anti- aliasing: Most aliasing artifacts, when appear in a static image at a moderate resolution, are often tolerable, and in many cases, negligible. However, they can have a signi
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