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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.
Question 1: Name at least four file formats and explain in detail what they mean and how they are use? Question 2: What are "Process Colours"? Answer in a single para
Rigid body or Non-Rigid body Transformations 2D transformations can be classified as rigid body or non-rigid body transformations. Rigid body transformations keep the shape and
Steps for clip a line segment-PQ Initially, find all the points of intersections of the line segment PQ along with the edges of the polygonal window and describe them eith
expalin 3-dimentional display methods
Area-Subdivision method This method is a type of an image-space method although uses object-space operations re-ordering or sorting of surfaces as per to depth. Area sub-div
diffrence between vecgen and bresenham'' s algorithams
Seed fill algorithm A seed fill algorithm starts with a known initial interior point of the polygon and spreads out to determine other interior points to fill the given closed
What do you mean by Perspective projection? Perspective projection is one in which the lines of projection are not parallel. Instead, they all converge at a single point known
limitations of cohen sutherland line clipping
Construction of an Isometric Projection - Transformation In this projection, the direction of projection i.e. d = (d 1 ,d 2 ,d 3 ) makes an identical angles with all the 3-pr
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