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

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

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

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

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

• Detecting object edges
• Segmenting objects by finding straight lines and circles
• Performing batch analysis over sets of images

Objective: Segment objects based on color and texture. Use statistical measures such as contrast and correlation to characterize texture features for image classification.

• Transforming between image color spaces
• Segmenting objects based on a color difference metric
• Using non-linear filters to segment objects based on texture
• Analyzing image texture using statistical measures
• Measuring texture similarity

Objective: Analyze and modify objects' shape to improve segmentation results. Count and label the objects detected in an image. Extract object properties like area or centroid.

• Counting objects from a segmentation
• Measuring shape properties
• Using morphological operations to refine segmentation results
• Performing watershed segmentation to improve object separation