Objective: Import and display different types of images. Convert between image data types and formats to facilitate subsequent analysis steps.

• Importing, inspecting, and displaying images
• Converting between image types
• Visualizing results of processing
• Exporting images

Objective: Enhance images to simplify analysis and processing. Use common preprocessing techniques such as histogram-based contrast adjustment and noise filtering to improve segmentation.

• Improving image contrast
• Reducing noise in an image
• Equalizing inhomogeneous background
• Processing images block by block

Objective: Segment objects from an image based on color and texture. Use statistical measures to characterize texture features and measure texture similarity between images.

• Applying geometric transformations to images
• Aligning images using point mapping
• Automating intensity-based registration

Objective: Improve binary segmentation results by refining the segmentation mask. Use interactive and iterative techniques to segment image regions.

• Using morphological operations to refine segmentation masks
• Segmenting images and refining results interactively
• Using iterative techniques to evolve segmentation from a seed 

Objective: Count and label objects detected in a segmentation. Measure object properties like area, perimeter, and centroids.

• Extracting and labeling objects in a segmentation mask
• Measuring shape properties
• Separating adjacent and overlapping objects with watershed transform

Objective: Detect edges of objects and extract boundary pixel locations. Detect objects by their shape.

• Detecting object edges
• Identifying objects by detecting lines and circles
• Performing batch analysis over sets of images 

Objective: Compare images with different scales and orientations by geometrically aligning them.

• Applying geometric transformations to images
• Aligning images using phase correlation
• Aligning images using point mapping

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

• Detecting and extracting features
• Matching features to estimate geometric transformation between two images