We use python. Consider the following procedures for accessing and modifying the color channels of an RGB pixel. RED (pixel): Extracts the red value from the color of pixel GREEN (pixel): Extracts the green value from the color of pixel BLUE (pixel): Extracts the blue value from the color of pixel SETCOLOR (pixel,r,g,b): Replaces the red, green, and blue values of pixel with new values (r, g, and b, respectively) Using the above procedures, a programmer has written the following code segment to modify image, an array representing the color values for each pixel within an RGB image. FOR EACH pixel IN image { r = 255 - RED(pixel) g = 255 - GREEN(pixel) b = 255 - BLUE(pixel) SETCOLOR (pixel, r, g, b) } Which of the following best describes the resulting image? Multiple Choice: A. The resulting image will be completely white. B. All of the colors of the resulting image will be inverted, like a negative, of the original image. C. The resulting image will be a grayscale version of the original image. D. The overall brightness of all pixels in the resulting image will be darkened.

Write a program that displays four images in a grid pane, asshown in Figure .

Using the celsius_to_kelvin function as a guide, create a new function, changing the name to kelvin_to_celsius, and modifying the function accordingly. Sample output with input: 283.15 10.0 C is 283.15 K 283.15 K is 10.0 C Learn how our autograder works 461710 3116374.qx3zqy7 1 def celsius_to_kelvin (value_celsius): value_kelvin = 0.0 12345 3 4 6 7 Your solution goes here """ 8 9 value_c= 10.0 10 print(f' {value_c} C is {celsius_to_kelvin(value_c)} K') 11 value_kelvin value_celsius + 273.15 return value_kelvin 111 Run 12 value_k = float(input()) 13 print(f' {value_k} K is {kelvin_to_celsius(value_k)} C')

A grid needs a system for numbering the tiles in order to allow random-access lookup.For instance, the rows and columns of a square grid provide a natural numbering for the tiles. Create plans for hexagonal and triangular grids. Create a rule for identifying the neighbourhood (i.e., nearby tiles) of a certain tile in the grid using the numbering scheme. For instance, the neighbourhood of tile I j in a four-connected square grid with indices of I for rows and j for columns may be described as neighbourhood(i, j) = I 1, j, I j 1.

It cannot take decimal points as input. Please fix it.

Write a C program for the image attached. Thank you

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.

Write a code that can be used to plot a 3D graph where x & y are between -5 to 5 and z is defined by the following equation. "z=4x4y - 3x3y2 + x"

The module test2 contains a pandas DataFrame colors with a list of colors along with their hexadecimal color codes and RGB channel values between 0 and 255 (i.e., the mixture of the basic colors red, green, and blue that gives the color). The first few entries look like this: color hex red channel green channel blue channel O dark sea green #8fbc8f 143 188 143 1 gray #808080 128 128 128 2 orange red #ff8c00 255 69 0 3 lime green 4 lavendar #32cd32 50 #e6e6fa 230 205 50 230 250 1. Take the original table, augment it by one column, "grayscale", and assign the new table to the variable colors_extra. The values of the grayscale column should be the grayscale values of the colors, i.e., the mean of their red, green, and blue channel values. 2. Define a second DataFrame mixed_color_table whose entries are mixtures of subsequent colors in colors, i.e., the first entry is the mixture of the first and second original color, the second entry is the mixture of the third and fourth original color,...

Use Kotlin. Create a program to display a series of fibonacci up to the given number and calculate the sum of its term.

Find on the internet (or use a camera to take) three different types of images: an indoor scene, outdoor scenery, and a close-up scene of a single object. Write python code to implement an adaptive thresholding scheme to segment the images as best as you can and write a brief summary.

Write code that prints a random number of lines between 2 and 10 lines inclusive, where each line contains a random number of 'x' characters between 5 and 20 inclusive. For example: xxxxxxx xxxxxxxxxxxxxxxxxx xxxxxxxxxxxx xxxxxx xxxxxxxxxxx xxxxxxxxxxxxxxxx