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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.
What is shearing? The shearing transformation actually slants the object with the X direction or the Y direction as needed.ie; this transformation slants the shape of an obje
What are the advantages of electrostatic plotters? They are faster than pen plotters and very high quality printers. Recent electrostatic plotters contain a scan-conv
Common Steps of Designing the Animation Sequence Common Steps of designing the animation sequence are as given: 1) Layout of Storyboard: Storyboard layout is the action ou
Polygon -Rendering Methods Now we will see the application of an illumination model to execute the rendering of standard graphics objects that are formed along with polygonal
assignment
Bresenham Line Generation Algorithm This algorithm is exact and efficient raster line generation algorithm. Such algorithm scan converts lines utilizing only incremental integ
Determine the advantages of raster-scan systems (i) Rasterisation is now performed faster since a special purpose processor is used. (ii) The CPU is not slowed down by the
Exceptional cases - Orthographic Projection 1) We have an Orthographic projection, if f=0, then cot (β) =0 that is β=90 0 . 2) β =cot-1 (1)=450 and this Oblique projec
Types of Bitmap Images Bitmap images can include any number of colours but we distinguish among four main categories as: 1) Line-art: These are images that include
Categories of Orthographic Projection Orthographic projection is additionally divided into Multi-view projection and axonometric projection, depending upon where the direction
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