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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.
Application of Computer Aided Design There are several CAD software applications. Several of them along with their respective vendors are listed here: CAD Applications
Cases of clip a line segment-pq Case 1: As we determine a new value of t E that is value of parameter t for any potentially entering (PE) point we select t max as: t max
Calculate how many customers there are for each lawn size. Name this sheet
Film Recorders - graphics hardware It is a graphical output device for transferring digital images to photographic films. The easiest film recorders classically work through
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
Reflection and Types of Reflection Reflection and its types: Reflection: this is the phenomenon of bouncing back of light; such phenomenon obeys laws of Reflec
Algorithms for Identification of Observable Objects There are various algorithms for identification of observable objects for various types of applications. Several methods ne
1. How does the resolution of a system influence graphic display? Ans. In a high resolution system the adjacent pixels are so near spaced such approximated line-pixels lie extr
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
Assumptions for Area Subdivision Method a) ¾ Plane of projection is z=0 plane b) ¾ Orthographic parallel projections c) ¾ Direction of projection as d= (0,0,-1) d
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