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Markov Chains || Step-By-Step || ~xRay Pixy

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Learn Markov Chains step-by-step using real-life examples. Video Chapters: Markov Chains 00:00 Introduction 00:19 Topics Covered 01:49 Markov Chains Applications 02:04 Markov Property 03:18 Example 1 03:54 States, State Space, Transition Probabilities 06:17 Transition Matrix 08:17 Example 02 09:17 Example 03 10:26 Example 04 12:25 Example 05 14:16 Example 06 16:49 Example 07 18:11 Example 08 24:56 Conclusion
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Output Primitives in Computer Graphics

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 Basic Output Primitives are:

 - Point Positions [ pixel ].

 - Lines 

 - Line Drawing Algorithm

 - Circle and Ellipse generating algorithms

 - Pixel addressing and object geometry

 - Filled area primitives 

1.) Point or pixel

Point/Pixel means smallest element of Picture. A Point contain location using x and y coordinates. Size of pixel = size of pixel on display monitor. Point Attributes: Size and Color. 2 points represent Line/Edge. 

2.) Line function

Line function is used to generate straight lines between any two points. Line Function Provide Straight Line with the location of 2 pixel points. line representation Set of pixels between 2 end points. Line attributes: Color, Thickness and type. 

3.)  Line drawing algorithm

Line Generation = Process of turning on pixels for a line segments.

Line drawing algorithms is required when computer needs to determine positions of pixel between 2 end points [ to generate a straight line].  

Requirements of Line drawing Algorithm

 - Line should appear as a Straight line. 

  - It should be start and end accurately.  

4.) Different Lines 

Horizontal, Verical and Diagonal. 

Video Link: https://youtu.be/qxcCWrm5AbU

#computer #graphics #computerGraphics


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