It is one of the most common machine learning applications.There are many situations where you can classify the object as a digital image.
For digital images, the measurements describe the outputs of each pixel in the image. In the case of a black and white image, the intensity of each pixel serves as one measurement. So if a black and white image has N*N pixels, the total number of pixels and hence measurement is N2.
In the coloured image, each pixel considered as providing 3 measurements of the intensities of 3 main color components i.e. RGB.
So N*N coloured image there are 3 N2 measurements.
- For face detection – The categories might be face versus no face present. There might be a separate category for each person in a database of several individuals.
- For character recognition – We can segment a piece of writing into smaller images, each containing a single character. The categories might consist of the 26 letters of the English alphabet, the 10 digits, and some special characters.