Suppose the Canny edge detection algorithm has been applied to the photo below, resulting in a set of detectededge pixels S = {(x1,y1),..., (xn, Yn)}. Give a line-fitting algorithm that takes as input the set S and returnsthe lines formed by these edge pixels. Note that since many lines are visible in the photo, the algorithm shouldreturn all (or most) of them, not just one. Be sure to state any assumptions you need to make and/or anyadditional parameters your algorithm must take as input.NM

let's break down the least squares line-fitting algorithm step-by-step with more detail:Input:Set of…

Answered: Suppose the Canny edge detection…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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An edge labeled with multiple symbols a, b,... → edge labeled with the symbol. Select one: True False Given regular expressions R1 and R2, then... Select one: E a. R1+R2 is a regular expression b. R1R2 is a regular expression CR1 is a regular expression d. All of the above
The Problem: You are coding a graphics filter that process each of animage through a filter. Each pixel is defined a triplet of real numbers (R,G,B)each of which is between 0 and 255.The filtering algorithms need to work on real numbers in order to do theirjob. But examining the program you discover that they only need two digits ofaccuracy. Any additional digits is just overkill.
How many colors are needed (minimum) in edge coloring of the following? Draw the colors on the edges. K H A L M В D
The edge-detection function (detectEdges) described in Chapter 7 and shown below returns a black and white image. Think of a similar way to transform color values so that the new image is still in its original colors but the outlines within it are merely sharpened. Then, define a function named "sharpen" that performs this operation. The function should expect an image and two integers as arguments. One integer should represent the degree to which the image should be sharpened. The other integer should represent the threshold used to detect edges. Code: from images import Image def sharpen(image, degree, threshold): """Builds and returns a sharpened image. Expects an image and two integers (the degree to which the image should be sharpened and the threshold used to detect edges) as arguments.""" pass def main(): filename = input("Enter the image file name: ") image = Image(filename) newimage = sharpen(image, 20, 15) newimage.draw() if __name__ == "__main__": main() Please only…
Although the plot function is designed primarily for plotting standard xy graphs, it can be adapted for other kinds of plotting as well. b. Make a plot of the curve, which is defined parametrically by the equations x = 2cosθ + cos2θ, y = 2sinθ - sin2θ, where 0 < θ < 2π. Take a set of values of θ between zero and 2π and calculate x and y for each from the equations above, then plot y as a function of x. b. Taking this approach a step further, one can make a polar plot r = f(θ) for some function f by calculating r for a range of values of θ and then converting r and θ to Cartesian coordinates using the standard equations x = r cosθ, y = r sinθ. Use this method to make a plot of the function r = ecosθ – 2 cos(4θ) + sin5 (θ/12) in the range 0 <= θ <= 24π. use python code to answer the highlight one
An edge labeled with multiple symbols a, b,... → edge labeled with the symbol. Select one: Given regular expressions R1 and R2, then... True False Select one: EN KE a. R1+R2 is a regular expression b. R1R2 is a regular expression c. R1 is a regular expression d. All of the above
Imagine a robot sitting on the upper left corner of grid with r rows and c columns.The robot can only move in two directions, right and down, but certain cells are "off limits" such that the robot cannot step on them. Design an algorithm to find a path for the robot from the top left to the bottom right.
1.Generate motion blurred images, apply Wiener filtering for image restoration, and display the results. I=imread('f:\1.jpg') I=rgb2gray(s) I = im2double(I); % Simulate motion blur LEN = 21; THETA = 11; PSF = fspecial('motion', LEN, THETA); blurred = imfilter(I, PSF , 'conv', 'circular'); % restore image wnr2 = deconvwnr(blurred, PSF); subplot(1,2,1);imshow(blurred);title('motion blurred image') subplot(1,2,2);imshow(wnr2);title('restore image')
Write a small piece of pseudo-code for generating a histogram H[L] for an intensity image I[YDIM][XDIM], where L is the total level of intensities of the image, H is the histogram array, XDIM * YDIM are the size of the image, and I[i][j] is the intensity value of the pixel at location (i,j), with i = 1, …, YDIM, and j = 1,…, XDIM. You might choose to use a certain program language that you are familiar with to write the code. You don’t have to compile the code.
In each case, you should provide two strings in L and two strings not in L in the spaces provided. (All of the strings must be in Σ∗.) L=L(P), where P is the PDA over alphabet Σ ={0,1} shown below: *Check uploaded image* w∈L: w∈L: w /∈L: w /∈L:
Consider a square matrix in which each cell (pixel) is either black or white. Create a method to discover the largest subsquare with all four boundaries filled with black pixels.
Suppose a line segment starts at (x0, y0) and ends at (x1, y1) where, x0, y0, x1 and y1 are sequentially the first, second, third and fourth pair of digits from the left in your student ID. STUDENT ID: 21341040 Q:- Simulate the midpoint line drawing algorithm to find the first four intermediary pixels of this line after (x0, y0); or, all of them if the line reaches (x1, y1) in less than four pixels.

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