声明
CHAPTER 1 INTRODUCTION
1.1 GENERAL
1.2 IMAGES IN MATLAB
1.3 INTRODUCTION TO IMAGE PROCESSING TOOLBOX
1.4 VISUALIZATION OF IMAGES IN MATLAB
1.5 IMAGE PROCESSING TOOLBOX PRODUCT DESCRIPTION
1.6 PIXEL INDICES
1.7 IMAGE COORDINATE SYSTEMS
1.7.1 SPATIAL COORDINATES
1.7.2 INTRINSIC COORDINATES
1.7.3 INTRINSIC COORDINATES SYSTEM
1.7.4 WORLD COORDINATES
1.7.5 DEFINE WORLD COORDINATES USING XDATA AND YDATA PROPERTIES
CHAPTER 2 RELATED WORK AND BACKGROUND
2.1 LITERATURE REVIEW
2.2 RELATED WORK AND BACKGROUND
2.2.1 Related work
2.2.2 Background
CHAPTER 3 DESIGN FOR THE APPROACH OF AN IMAGE
3.1 CROP AN IMAGE
3.2 ROTATE AN IMAGE
3.3 GRAY CONVERSION
3.3.1 Noise addition and removal
3.3.2 Removing noise from an image
3.4 IMAGE INTENSITY ADJUSTMENT
3.5 RGB IMAGE HISTOGRAM
3.6 CHANGING IMAGE PIXEL VALUES
3.7 IMAGE RESIZE
3.8 RGB FORMAT
3.8.1 Color space
3.8.2 RGB color space
3.9 DETECT REGIONS OF TEXTURE IN IMAGES
3.10 IMAGE PROCESSING ON A GPU (GPU COMPUTING WITH IMAGE PROCESSING TOOLBOX)
3.10.1 Display an Image in a Figure Window
3.10.2 Import Image Data from the Workspace into the Image Viewer App
3.10.3 Export Image Data from the Image Viewer App to the Workspace
3.10.4 Using the getimage Function to Export Image Data
3.10.5 Save Image Data Displayed in Image Viewer
3.11 IMAGE TYPES IN THE TOOLBOX
3.11.1 Binary Images
3.11.2 Indexed Images
3.11.3 Grayscale Images
3.11.4 Truecolor Images
3.12 IMAGE INFORMATION TOOL
3.12.1 Get Image Information in Image Viewer App
3.12.2 Info:Image metadata
3.12.3 Get Information about Graphics Files
3.12.4 Write Image Data to File in Graphics Format
3.12.5 Storage Class of Output Image File
3.12.6 Determine Individual Pixel Values in Image Viewer
3.12.7 Image Region Properties
3.12.8 Intensity Profile of images
3.12.9 Saving The pixel value and location information
3.12.10 Determine Pixel Values in an Image Region
3.12.11 Saving The changed Image Data
3.13 PIXEL VALUES
3.13.1 Determine Individual Pixel Values in Image Viewer
3.13.2 Relationship of Pixel Values to Display Range
3.13.3 Selecting a Region
3.13.4 Determining the Location of the Pixel Region Rectangle
CHAPTER 4 EXPERIMENTS AND RESULT ANALYSIS FOR LEAF RECOGNITION AND DETECTION
4.1 INTRODUCTION
4.2 IMAGE PREPROCESSING
4.3 FEATURE EXTRACTION
4.4 CLASSIFICATION (RECOGNITION)
4.5 HISTOGRAMS OF ORIENTED GRADIENTS FOR LEAF DETECTION
4.5.1 Histogram stretching
4.5.2 Contrast stretching
4.5.3 FAILING OF HISTOGRAM STRETCHING
4.6 SOBEL EDGE DETECTION
4.7 SUPPORT VECTOR MACHINE (SVM) CLASSIFIER
4.8 MATCHING DATABASE
4.8.1 AVAILABLE DATABASE
4.8.2 RESULTING DATABASE
4.8.3 Results
4.9 SCREEN SHOTS OF THE FINAL RESULTS
4.9.1 Menu
4.9.2 Getting the database leaf
4.9.3 Leaf process
4.9.4 Histogram equalization for leaf
4.9.5 Feature extraction
4.9.6 Testing
4.9.7 LEAF INPUT DETECTED
4.9.8 MATCHING
4.9.9 LEAF LABEL OUTPUT
4.9.10 Wikipedia link
CONCLUSION
参考文献
APPENDIX
致谢
湖南大学;
