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. Use the same techniques for creating panorama images.

• 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
• Performing batch analysis over sets of 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