Date: 11.02.2021
- q1.m: MATLAB code to read & display an image
- q2.m: MATLAB code to read & display an image in HSV, RGB, CMY & Grayscale mapping
- q3.m: MATLAB code to execute color plane slicing in RGB color space
- q4.m: MATLAB code to extract statistical features like mean, standard deviation, variance, skewness, kurtosis in each of the plane of R, G, B
- q5.m: MATLAB code to store the calculations from q4.m for all images in the given image set in an XLS file named
image_features.xls
Output of q4.m
Size: 1080×1920×3 Height: 1080 Width: 1920 No. of channels: 3
Mean for channel:
Red: 59.577845 Green: 54.632606 Blue: 88.810405
Standard Deviation for channel:
Red: 61.066365 Green: 53.543544 Blue: 51.052430
Variance for channel:
Red: 3729.102785 Green: 2866.912520 Blue: 2606.351873
Skewness for channel:
Red: 0.123737 Green: 0.128874 Blue: 0.131954
Kurtosis for channel:
Red: 0.014476 Green: 0.015559 Blue: 0.016299
Output of q5.m - image_features.xls: Generated file containing the calculated image features