7/23/2019 LabSheet6

1/1

Labsheet 6

Histogram Processing

1. Histogram Calculation: Given an image, Write a C program to compute the

normalised histogram of the image and save it into a file hist.txt. Each row

should contain two entries: the gray level intensity and frequency. Use gnuplot

to view the histogram.

2. Gray Level Slicing: Try to segment out the whitish tumour from the MRI

image provided using gray level slicing specified by following graph.

3. Contrast Stretching: Write a C program to improve the contrast of an image.

The program should allow stretching the range of intensity values in the image

to span a desired range specified by following graph.

4. Histogram Equalization: Write a C program to equalise the histogram of the

resulting image. Compare the histogram of the input and output images using

gnuplot.

5. Histogram Specification: Write a C program to change the histogram of the

input image to a desired histogram. The desired histogram can be provided as atext file. Compare the histograms using gnuplot.

1