In general, a good strategy to solve a given problem is the 'divide and conquer' approach. This involves breaking the problem into smaller sub-problems, solving each one, and combining the solutions.

In this experiment, you are provided with an environment to build a solution to a problem by combining solutions to several sub-problems. The system you build will function as a cascade of different modules, each solving a part of the problem.

The goal of this test bench is to help you experiment with and understand how algorithms are constructed.

Part 1: Sequential Image Processing

1. Start with a mosaic image:

• Select an image from the provided mosaic.
• Apply different operations on the image in a serial fashion.

2. Example Workflow:

• First, apply contrast stretching to enhance the image.
• Save the resulting image and use it as input for the next operation, such as filtering (neighborhood processing).
• Finally, perform segmentation using thresholding.

3. Using Piping Functionality:

• To use the output image from one step as the input for the next, click the button labeled "Return to piping".
• When prompted with "Retain changes?", click OK to proceed.

4. Experiment with Order of Operations:

• For complex workflows, analyze how changing the sequence of steps impacts the final result.

Part 2: Design and Implement Your Algorithm

1. Define a Specific Task:

• Identify a specific image processing problem you’d like to solve.

2. Design an Algorithm:

• Outline the steps required to solve your task on paper.

3. Implement Using the Test Bench:

• Use the test bench environment to implement your algorithm.
• Test and refine the steps as needed to achieve the desired outcome.

Tip: Refer to the Assessment Section for sample problems to practice and explore.