Implementation of Edge Detection and Edge Enhancement Algorithm on Thermal / IR Image
Chapter 1: INTRODUCTION
BLOCK DIAGRAM OF IR CAMERA
Si/Ge optical lense IR
DETECTOR
IMAGE
PROCESSI
-NG
Display
CRT/
LCD
As given in above block diagram, general IR cameras use Si/Ge optical lense to capture images, which are further sent to IR detector. Image processing is important and needed after an IR image is captured. This is done through kit such as FPGA( feed programmable gate array) board or any other such board.
As we know body emits different type of radiations, one of which is IR, so this Si/Ge optical lense along with IR detector are used to receive and detect these IR radiations. Now these radiations are not worth use , and do not provide as needed information. For obtaining maximum information from these images which mostly depend upon application and our need we operate some algorithm on these images.
In this case this mathematical tool will be MATLAB which will provide or develop algorithm as per our need. In this particular project our emphasis is on developing algoritm which is used for edge enhancement and edge detection. We will see some other intensity transformation algorithms and image enhancement terminologies which are generally needed in Digital image processing.
CHAPTER 2: FUNDAMENTALS OF DIGITAL IMAGE PROCESSING
Model of Simple Image formation:
A thermal image is a continuously varying array of gray shades; shades vary from light to dark. All images are made of gray shades ranging from black to white. An image may be defined as a two-dimensional function, f(x, y), where x andy are spatial (plane) coordinates, and the amplitude of f at any pair of coordinates (x, y) is called the intensity or gray level of the image at that point.When x, y, and the amplitude values of f are all finite, discrete quantities, we call theimage a digital image.
A digital image is composed of discreet points of gray tone or brightness, rather than continuously varying levels. Gray value of
BLOCK DIAGRAM OF IR CAMERA
Si/Ge optical lense IR
DETECTOR
IMAGE
PROCESSI
-NG
Display
CRT/
LCD
As given in above block diagram, general IR cameras use Si/Ge optical lense to capture images, which are further sent to IR detector. Image processing is important and needed after an IR image is captured. This is done through kit such as FPGA( feed programmable gate array) board or any other such board.
As we know body emits different type of radiations, one of which is IR, so this Si/Ge optical lense along with IR detector are used to receive and detect these IR radiations. Now these radiations are not worth use , and do not provide as needed information. For obtaining maximum information from these images which mostly depend upon application and our need we operate some algorithm on these images.
In this case this mathematical tool will be MATLAB which will provide or develop algorithm as per our need. In this particular project our emphasis is on developing algoritm which is used for edge enhancement and edge detection. We will see some other intensity transformation algorithms and image enhancement terminologies which are generally needed in Digital image processing.
CHAPTER 2: FUNDAMENTALS OF DIGITAL IMAGE PROCESSING
Model of Simple Image formation:
A thermal image is a continuously varying array of gray shades; shades vary from light to dark. All images are made of gray shades ranging from black to white. An image may be defined as a two-dimensional function, f(x, y), where x andy are spatial (plane) coordinates, and the amplitude of f at any pair of coordinates (x, y) is called the intensity or gray level of the image at that point.When x, y, and the amplitude values of f are all finite, discrete quantities, we call theimage a digital image.
A digital image is composed of discreet points of gray tone or brightness, rather than continuously varying levels. Gray value of