IMAGE PROCESSING
Image Processing
Rajasekar S, Mohammed Nizar S
ECE Department, Third Year
RMK Engineering College raja.peak@gmail.com smohamednizar@gmail.com
+919789356115
+919840515626
Abstract— This document talks about the use of image processing as one of the most crucial element of developing Futuristic Technologies in various fields.
I. What is Image processing?
Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it
II. Concept behind image processing
It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processing system includes treating images as two dimensional signals while applying already set signal processing methods to them..
III. Purpose of image processing
The purpose of image processing is divided into 5 groups. They are:
1. Visualization - Observe the objects that are not visible.
2. Image sharpening and .restoration - To create a better image.
3. Image retrieval - Seek for the image of interest.
4. Measurement of pattern – Measures various objects in an image.
5. Image Recognition – Distinguish the objects in an image.human-computer interaction, an intelligent machine might want to be able to display emotions—even if it does not actually experience them itself—in order to appear sensitive to the emotional dynamics of human interaction
It is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within engineering and computer science disciplines too.
IV. TYPES
The two types of methods used for Image Processing are Analog and Digital Image Processing. Analog or visual techniques of image processing can be used for the hard copies like printouts and photographs. Image
Rajasekar S, Mohammed Nizar S
ECE Department, Third Year
RMK Engineering College raja.peak@gmail.com smohamednizar@gmail.com
+919789356115
+919840515626
Abstract— This document talks about the use of image processing as one of the most crucial element of developing Futuristic Technologies in various fields.
I. What is Image processing?
Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it
II. Concept behind image processing
It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processing system includes treating images as two dimensional signals while applying already set signal processing methods to them..
III. Purpose of image processing
The purpose of image processing is divided into 5 groups. They are:
1. Visualization - Observe the objects that are not visible.
2. Image sharpening and .restoration - To create a better image.
3. Image retrieval - Seek for the image of interest.
4. Measurement of pattern – Measures various objects in an image.
5. Image Recognition – Distinguish the objects in an image.human-computer interaction, an intelligent machine might want to be able to display emotions—even if it does not actually experience them itself—in order to appear sensitive to the emotional dynamics of human interaction
It is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within engineering and computer science disciplines too.
IV. TYPES
The two types of methods used for Image Processing are Analog and Digital Image Processing. Analog or visual techniques of image processing can be used for the hard copies like printouts and photographs. Image
References: “Image Processing, Analysis and Machine Vision” by Milan Sonka, Vaclav Hlavac and Roger Boyle “Digital Image Processing” by Rafael C. Gonzalez and Richard E. Woods. “Fundamentals of Digital Image Processing” by Anil K. Jain Artificial Intelligence: Theory and Practice", by Thomas Dean, (1994), Addison-Wesley.