I need a simple matlab script, which will plot some histograms

I need a simple script written in matlab (probably 30-50 lines of code). I need project to completed by tomorrow. 1. Create a function calchist(image, nbins) which accepts 2d grey image and bin channels as an input. It returns 1d histogram (vector), which has to be normalized. 2. Write function comparehistograms(h1,h2, distance) which calculates given distance between histograms, given as argument of function('L2', 'chi2', 'hellinger'). Implement the following distances: Euclidean distance, Hellinger distance and χ2 distance. 3. Write a script findnearest(image, path_to_others, distance), which draws as an result 4 subimages: the original image, and nearest image by each distance. 4. Write a function [login to view URL], which accepts size of a code as an argument and returns 1-dimensional filter (gauss filter and separability). Show the filter. Code example: I = imread('[login to view URL]'); I = double(rgb2gray(I)); sigma = 2; sigma_tilda = 1.6*sigma; x = (round(-3.0*sigma_tilda):round(3.0*sigma_tilda)); g = gauss(x, sigma_tilda); plot(g); 5. Write a function blur(image, sigma), which applies selected Gauss filter. Convolution can be implemented as two sequential convolutions with 1d core, first by first dimension, and then with transported core by other dimension (eg tmp = conv2(I, g, 'same'); and result = conv2(tmp, g', 'same');). 6. add noise to image (function imnoise) type of »salt & pepper«, »poisson« and »gauss« and show it on an image as a combination of combined noised and filtered image.