How to resolve the algorithm Ramer-Douglas-Peucker line simplification step by step in the Yabasic programming language

Published on 12 May 2024 09:40 PM

How to resolve the algorithm Ramer-Douglas-Peucker line simplification step by step in the Yabasic programming language

Table of Contents

Problem Statement

The   Ramer–Douglas–Peucker   algorithm is a line simplification algorithm for reducing the number of points used to define its shape.

Using the   Ramer–Douglas–Peucker   algorithm, simplify the   2D   line defined by the points: The error threshold to be used is:   1.0. Display the remaining points here.

Let's start with the solution:

Step by Step solution about How to resolve the algorithm Ramer-Douglas-Peucker line simplification step by step in the Yabasic programming language

Source code in the yabasic programming language

sub perpendicularDistance(tabla(), i, ini, fin)
    local dx, cy, mag, pvx, pvy, pvdot, dsx, dsy, ax, ay

    dx = tabla(fin, 1) - tabla(ini, 1)
    dy = tabla(fin, 2) - tabla(ini, 2)
 
    //Normalise
    mag = (dx^2 + dy^2)^0.5
    if mag > 0 dx = dx / mag : dy = dy / mag
 
    pvx = tabla(i, 1) - tabla(ini, 1)
    pvy = tabla(i, 2) - tabla(ini, 2)
 
    //Get dot product (project pv onto normalized direction)
    pvdot = dx * pvx + dy * pvy
 
    //Scale line direction vector
    dsx = pvdot * dx
    dsy = pvdot * dy
 
    //Subtract this from pv
    ax = pvx - dsx
    ay = pvy - dsy
 
    return (ax^2 + ay^2)^0.5
end sub

sub DouglasPeucker(PointList(), ini, fin, epsilon)
    local dmax, index, i, d
    // Find the point with the maximum distance

    for i = ini + 1 to fin
        d = perpendicularDistance(PointList(), i, ini, fin) 
        if d > dmax index = i : dmax = d
    next

    // If max distance is greater than epsilon, recursively simplify
    if dmax > epsilon then
        PointList(index, 3) = true
        // Recursive call
        DouglasPeucker(PointList(), ini, index, epsilon)
        DouglasPeucker(PointList(), index, fin, epsilon)
    end if
end sub


data 0,0, 1,0.1,  2,-0.1,  3,5,  4,6,  5,7,  6,8.1,  7,9,  8,9,  9,9

dim matriz(10, 3)

for i = 1 to 10
    read matriz(i, 1), matriz(i, 2)
next

DouglasPeucker(matriz(), 1, 10, 1)

matriz(1, 3) = true : matriz(10, 3) = true
for i = 1 to 10
    if matriz(i, 3) print matriz(i, 1), matriz(i, 2)
next

  

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