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.
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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.
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- Multidimensional arrays are used in image processing in C++. A gray-scale image of size m*n is represented as a m*n matrix (array). Each pixel can be shown using a double number between 0 and 1 (0 for black and 1 for white and numbers between 0 and 1 for the gray values). Let's say we scan a document and notice that we have a dark background. Can you think of a function that gets an image as a 2D array and eliminates its background? What operations are needed to make an image lighter? How about sharpening or softening? Now with this definition, what do you think of software like Photoshop? How can we write a small version of Photoshop that only works on gray images and does sharpening and softening?Here__Given an m x n 2D binary grid grid which represents a map of '1's (land) and '0's (water), return the number of islands. An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. You may assume all four edges of the grid are all surrounded by water. Example 1: Input: grid = [ ["1","1","1","1","0"], ["1","1","0","1","0"], ["1","1","0","0","0"], ["0","0","0","0","0"] ] Output: 1 Example 2: Input: grid = [ ["1","1","0","0","0"], ["1","1","0","0","0"], ["0","0","1","0","0"], ["0","0","0","1","1"] ] Output: 3.code in java pls Summary: Given integer values for red, green, and blue, subtract the gray from each value. Computers represent color by combining the sub-colors red, green, and blue (rgb). Each sub-color's value can range from 0 to 255. Thus (255, 0, 0) is bright red, (130, 0, 130) is a medium purple, (0, 0, 0) is black, (255, 255, 255) is white, and (40, 40, 40) is a dark gray. (130, 50, 130) is a faded purple, due to the (50, 50, 50) gray part. (In other words, equal amounts of red, green, blue yield gray). Given values for red, green, and blue, remove the gray part. Ex: If the input is: 130 50 130 the output is: 80 0 80 Find the smallest value, and then subtract it from all three values, thus removing the gray.
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