电子科技大学：《图像处理及应用 Image Processing and Application》课程教学资源（课件讲稿）Chapter 03 Intensity Transformations and Spatial Filtering

电子科线女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC aerieityTsioanng

电子科发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC Image Enhancement Contrast stretching

Image Enhancement Contrast stretching

电子科发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC Image Enhancement Denoising for low-light image

Denoising for low-light image Image Enhancement

电子科发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC Image Enhancement 00吧.即000E 眼心0g0i 000000 n0▣g Sharpening for circuit board

Sharpening for circuit board Image Enhancement

电子科发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC Types of Image Enhancement in the Spatial Domain Single pixel methods Gray level transformations Example Historgram equalization Contrast stretching -Arithmetic/logic operations Examples Image subtraction Image averaging Multiple pixel methods Examples:Spatial filtering Smoothing filters Sharpening filters

Types of Image Enhancement in the Spatial Domain ◼ Single pixel methods - Gray level transformations Example - Historgram equalization - Contrast stretching - Arithmetic/logic operations Examples - Image subtraction - Image averaging ◼ Multiple pixel methods Examples: Spatial filtering - Smoothing filters - Sharpening filters

电子科发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC What is spatial domain The space where all pixels form an image In spatial domain we can represent an image by f(x,y),where x and y are coordinates along x and y axis with respect to an origin. There is duality between Spatial and Frequency Domains. Images in the spatial Using the Fourier domain are pictures in the transform,the word x,y plane where the word "distance"is lost but the "distance"is meaningful. word“frequency' becomes alive

What is spatial domain ? The space where all pixels form an image . In spatial domain we can represent an image by f(x,y), where x and y are coordinates along x and y axis with respect to an origin. There is duality between Spatial and Frequency Domains. Images in the spatial domain are pictures in the x,y plane where the word “distance” is meaningful. Using the Fourier transform, the word “distance” is lost but the word “frequency” becomes alive

电子科线女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC What is spatial domain Fourier transform Spatial domain Frequency domain

What is spatial domain ? Spatial domain Frequency domain Fourier transform

电子科线女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC Outline ◆Background Some Basic Intensity Transformation Functions ◆ Histogram Processing ◆ Fundamentals of Spatial Filtering Smoothing Spatial Filters Sharpening Spatial Filters ◆ Combining Spatial Enhancement Methods ◆ Using Fuzzy Techniques*

Outline ◆ Background ◆ Some Basic Intensity Transformation Functions ◆ Histogram Processing ◆ Fundamentals of Spatial Filtering ◆ Smoothing Spatial Filters ◆ Sharpening Spatial Filters ◆ Combining Spatial Enhancement Methods ◆ Using Fuzzy Techniques*

电子科发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC 3.1 Background Agenda 1.The Basics of Intensity Transformations and Spatial Filtering 2.About the Examples in This Chapter

1. The Basics of Intensity Transformations and Spatial Filtering 2. About the Examples in This Chapter 3.1 Background Agenda

电子科发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC 3.1 Background Image enhancement using processes performed in the Spatial domain resulting in images in the Spatial domain. We can written as g(x,y)=T f(x,y) where f(x,y)is an original image,g(x,y)is an output and T[.]is a function defined in the area around (x,y)

Image enhancement using processes performed in the Spatial domain resulting in images in the Spatial domain. We can written as g x y T f x y ( , ) ( , ) =   where f(x,y) is an original image, g(x,y) is an output and T[.] is a function defined in the area around (x,y). 3.1 Background