Objective:Import images into MATLAB and visualize them. Convert the images to a format that is useful for subsequent analysis steps.

• Importing and displaying images
• Converting between image types
• Exporting images

Objective:Preprocess images by filtering, and using contrast adjustment to simplify or allow for image analysis steps.

• Adjusting image contrast
• Reducing noise in an image by filtering
• Handling inhomogenous background
• Applying custom functions block by block

Objective:Compare images with different scaling and orientation by aligning them.

• Geometric transformations
• Image registration using point mapping
• Image registration using phase correlation

Objective:Detect, extract, and match sets of image features to automate image registration.

• Detecting and extracting features
• Matching features
• Estimating geometric transformations between images

Objective:Segment edges of objects and extract boundary pixel locations. Detect lines and circles in an image.

• Segmenting object edges
• Detecting straight lines
• 执行批处理分析/套images
• Detecting circular objects

Objective:Segment objects based on color or texture. Use texture features for image classification.

• Color space transformation
• Color segmentation
• Texture segmentation
• Texture-based image classification

Objective:Analyze and modify the objects' shape to improve segmentation results. Count the detected objects and calculate object features like area or centroids.

• Counting objects
• Measuring shape properties
• Using morphological operations
• Performing watershed segmentation