After we have introduction to IPPR previously, now we describe steps in Image Processing,

1. Image Acquisition: it is the process of acquiring a digital image using an image sensor. This process includes image sensing, sampling and quantization.

2. Pre-processing: It improves image in ways that increase the chance of success of the other processes. It includes image enhancement, restoration and morphological analysis. Like noise removal, image sharpening.

3. Segmentation: It is the process of breaking down an image into its constituent parts. Output is usually raw pixel data.  Boundary representation can be useful when the focus is on external shape characteristics. Example, corner, rounded edges. Region representation is appropriate when the focus is on internal properties like texture or skeletal shape.

4. Representation and Description: Representation is the process of transferring raw data into a form suitable for further computer processing. And descriptor also known as feature extraction is the process of extracting features that result in some quantitative information of interest or features which are basic for differentiating one class of objects from another.

5. Recognition and Interpretation: Recognition is the process of assigning a label to an object based on the information provided by descriptor. And, interpreter is the process of assigning meaning to an ensemble of recognized object.