Lecture 17 Figures from Gonzalez and Woods, Digital Image Processing, Second Edition, 2002.

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Presentation transcript:

Lecture 17 Figures from Gonzalez and Woods, Digital Image Processing, Second Edition, 2002.

Psuedocolor Processing Produce RGB image (usually) from gray levels. Also possible to transform a number of monochrome images.

Color Image Processing Chapter 6 Color Image Processing

Color Image Processing Chapter 6 Color Image Processing

Typical Transformations Sinusiodal functions with differing start points

Color Image Processing Chapter 6 Color Image Processing

Color Image Processing Chapter 6 Color Image Processing

Chapter 1: Introduction

Chapter 1: Introduction

Color Image Processing Chapter 6 Color Image Processing

Color Image Processing Chapter 6 Color Image Processing

Color Transformation

Color Image Processing Chapter 6 Color Image Processing

Color Transformations (2) Also possible in CMYK components HSI components

Color Image Processing Chapter 6 Color Image Processing

Modify through intensity

Color Image Processing Chapter 6 Color Image Processing

The Wheel of Hues Notice how complementary colors are opposite one another

Color Image Processing Chapter 6 Color Image Processing

Effect of Complementary Transformation Notice difference in RGB vs. HSI model

Color Image Processing Chapter 6 Color Image Processing

Color Slicing

Color Image Processing Chapter 6 Color Image Processing

Color Image Processing Chapter 6 Color Image Processing

Color Image Processing Chapter 6 Color Image Processing

Histogram Processing Done to intensity component. Should not be done to RGB components. Next figure Histogram equalization to intensity Then increased saturation

Color Image Processing Chapter 6 Color Image Processing

Smoothing and Sharpening Smoothing filters (like averaging or low pass) Or sharpening (like Laplacian or high pass) Are usually done on R,G,B components Or on intensity…with slightly different results

Color Image Processing Chapter 6 Color Image Processing

Color Image Processing Chapter 6 Color Image Processing

Color Image Processing Chapter 6 Color Image Processing

Color Image Processing Chapter 6 Color Image Processing

Color Segmentation As done in HSI space Color represented by hue image Saturation used to perform masking Intensity contains no color information and not used much for segmentation

Color Image Processing Chapter 6 Color Image Processing

Color Segmentation Done with distances in RGB space Either Euclidean or maximum are easy to do In fact, looking at this example, my thought was, oh, that’s what you want!

Color Image Processing Chapter 6 Color Image Processing

Color Image Processing Chapter 6 Color Image Processing

Color Noise Handled naturally in RGB mode. Standard color models make sense

Color Image Processing Chapter 6 Color Image Processing

Color Image Processing Chapter 6 Color Image Processing

Color Image Processing Chapter 6 Color Image Processing

Color Image Processing Chapter 6 Color Image Processing

Color Image Processing Chapter 6 Color Image Processing