How i can plot gray-scale image values?

I want to 2-D plot the grayscale image values.The below code plot the 3-D values of a grayscale image.What i can use 
instead of meshgrid function to plot 2-D values of a gray scale image.Please see the pictures for more details.
Ix = imread('C:\Users\Haseeb\Desktop\images\capture.jpg');
I= rgb2gray(Ix);
x = 1:size(I,1);
y = 1:size(I,2);
[X,Y] = meshgrid(x,y);
figure,plot3(X,Y,I)

Answer 1

[Ameer Hamza]

You can plot it using histcounts().

counts = histcounts(grayImage, 0:256)
plot(counts)

[Haseeb Hassan]

 Thanks.Excellent it works.But we should replace 0:255 instead of 
 0:256.Now i am trying to get the smoothed plot of this converted 
 grayscale image plot. Can you help by coding that. In picture you can 
 see.I will be very thankful i am stuck in this since few days.

[Ameer Hamza]

I am not well-versed in signal processing. You have a better chance of getting an answer if you start a new question.

[Haseeb Hassan]

As i applied your plotting code within my code, further smoothed the 
converted plot by Gaussian Filter , now i want to reconstruct the 
image from the plot can you help to reconstruct from plot.
Ix = imread('capture.jpg');
I= rgb2gray(Ix);
counts = histcounts(I, 0:255);
figure, plot(counts);
%Filter the image with a Gaussian filter with standard deviation of 2
Iblur = imgaussfilt(counts, 0.7);
%Display all results for comparison.
figure,plot(Iblur)
title('Gaussian filtered image, \sigma = 2');

[Ameer Hamza]

You cannot recover an image back from this plot because the information about the location of each pixel is lost. Can you think of a way by which I can know which pixel belongs to which location by just looking at this plot?