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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.
Remote Sensing Packages: generally utilized software illustration is-" ERDAS" Characteristics: I.Best suitable for satellite imagery system. II. ERDAS uses geo-spatial in
Write a function that computes the area of a triangle given the length of its three sides as parameters (see Programming Exercise 9 from Chapter 3). Use your function to augment tr
Application of animation: There are a variety of utilizations for computer animation. They can vary from fun to practical and educational ones. Medicine, military, entertainment,
Define the term Avatars- Animation Avatars are another instance of animation. These are frequently used to represent people either in 3-D (as used in computer games) and in 2-D
find out points to the given control points
Define pixel and frame buffer? Pixel is shortened forms of picture element. Every screen point is referred to as pixel or pel. Picture definition is kept in a memory area c
Compression methods utilized for digital video can be categorized in three major groups: General reason compression techniques can be utilized for any type of data. Intr
Properties of Perspective projections - Transformation 1) Faraway objects seem smaller. 2) Straight lines are projected to straight lines. 3) Let line 1 and 2 is two s
What is a spline? To produce a smooth curve by a designed set of points, a flexible strip called spline is used. Like spline curve can be mathematically explained with a piece
Illustration: Find the normalization transformation N that uses the rectangle W (1, 1), X (5, 3), Y (4, 5) and Z (0, 3) as a window and also the normalized device screen like the
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