Line Drawing Algorithms. Rasterization-Process of determining which pixels give the best approximation to a desired line on the screen. Scan Conversion-Digitizing.

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    14-Dec-2015

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Line Drawing Algorithms Slide 2 Rasterization-Process of determining which pixels give the best approximation to a desired line on the screen. Scan Conversion-Digitizing a picture definition given in an application program into a set of pixel intensity values for storage in the frame buffer. Slide 3 Output primitives -Basic geometric structures. A scene is described in such a way that the graphics programming packages provide functions to describe a scene in terms of basic geometric structures called output primitives and to group sets of o/p primitives into more complex structures Each output primitive is specified with the input coordinate data and other information about the way that object is to be displayed. Slide 4 Points- Point plotting is accomplished by converting a single coordinate position in an application program into appropriate operations for the output device in use. Line- Line drawing is accomplished by calculating intermediate positions along the line path between 2 specified end point positions. The output device is directed to fill these positions between the end points. Slide 5 01 2 34 0 1 2 3 4 Scan Line number Pixel Column number Slide 6 Slide 7 Slide 8 Slide 9 Slide 10 x1 x2 y1 y2 Straight line segment with 5 sampling positions along the x axis and y axis Slide 11 The Cartesian slope intercept eqn for straight line is y = m x + b (x1,y1) & (x2,y2) be the two endpoints of the line, then m=(y2-y1)/(x2-x1) b= y1- mx1 i.e y1 = mx1 + b y2 = mx2 + b (3) (2) ( y2-y1) = m (x2 x1) m=(y2-y1)/(x2-x1) ie y/ x (2) (3) (1) Slide 12 For any given x interval x along a line, compute the corresponding y interval y as y = m x Similarly the x interval is obtained as x = y /m The above eqns form the basis for determining deflection voltages. Slide 13 Lines with slope magnitude |m|y Lines with slope magnitude |m| >1, y is set proportional to a small vertical deflection voltage and the corresponding horizontal deflection voltage is x = y /m y> x P1 P2 P1 P2 Slide 14 Digital Differential Algorithm(DDA) Scan conversion algorithm based on calculating either x or y. Sample the line at unit intervals in one coordinate and determine the corresponding integer values nearest the line path for the other coordinate. Case 1 Line with positive slope less than or equal to 1, we sample at unit x intervals (x =1) and determine the successive y value as Y k+1 = Yk + m y=m x Yk+1- Yk =m x Yk+1- Yk =m (x =1) Slide 15 k takes integer values starting from 1 and increases by 1 until the final point is reached. m can be any number between 0 and 1. Calculated y values must be rounded off to the nearest integer. For lines with positive slope greater than 1, sample at unit y intervals (y = 1) and calculate each successive x value as x k+1 = x k + 1/m The above eqns are based on the assumption that lines are processed from left to right. If the processing is reversed then x = -1 & y k+1 = y k m Slope 1 Slide 16 Steps P1 ( xa,ya) and P2 (xb,yb) are the two end points. 2. Horizontal and vertical differences between the endpoint positions are computed & assigned to two parameters namely dx and dy. 3. The difference with greater magnitude determines the value of increments to be done. That means the number of times sampling has to be done. This value is assigned to a parameter called steps. Slide 17 4. Starting from the 1 st pixel,we determine the offset needed at each step to generate the next pixel position along the line path. Call the offset value as x increment and y increment. The starting points are xa and ya. Assign x =xa and y=ya x= x+ x incr & y= y+ y incr 5. Loop through the process steps times, till the last point xb, yb is reached. P1 (xa,ya) P2 (xb,yb) Slide 18 Step 1: Accept as input the 2 end point pixel position. P1(xa,ya)P2 (xb, yb) Step 2: Horizontal and vertical differences between the endpoint positions are computed & assigned to two parameters namely dx and dy. dx= xb xady = yb - ya Steps for DDA Algorithm Slide 19 Step 3: If abs(dx) >abs(dy) steps =abs( dx) else steps =abs( dy) Step 4: x incr = dx/steps (if steps = abs(dx), xincr = 1) y incr =dy/steps (ie dy/dx = m) Assign x= xa and y=ya x= x+ x incr & y= y+ y incr Step 5: Loop through the process steps times. Slide 20 Advantages DDA algorithm is a faster method for calculating the pixel positions than the direct use of line equation. It eliminates multiplication by making use of raster characteristics. Disadvantages DDA algorithm runs slowly because it requires real arithmetic (floating point operations) and rounding operations.

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