G21-2023

h1=. <pre>

Our Project</pre>

---

*[[Wiki]]*   |  *[[About Us]]*  |  *[[Regarding Our Project]]* |

---

h2. *%{color:black}PREVIEW%*

Our project primarily focuses on utilizing *%{color:blue}OpenCV%* for advanced image processing, supported by *%{color:green}Python%*. 

This project utilizes *%{color:purple}Unified Modeling Language (UML)%* for clear, structured design and Python for efficient coding, enhanced with OpenCV libraries for advanced image processing. Our code is thoroughly documented with Doxygen for clarity and maintenance, while project management and monitoring are streamlined using *%{color:red}Redmine%*.

 # Image Processing with *%{color:green}Python%* and  *%{color:blue}OpenCV%*: We use *%{color:green}Python%*, a flexible programming language, together with *%{color:blue}OpenCV%*, a detailed library for image processing. This pair helps us effectively carry out complex image analysis and processing tasks.

 # Structured Design with UML: We utilize *%{color:purple}Unified Modeling Language (UML)%* to create a clear and organized design. *%{color:purple}UML%* helps in visually representing the system's architecture and workflows, making it more accessible and easier to understand.

 # Documentation with *Doxygen*: Our code is thoroughly documented using *Doxygen*. This approach ensures clarity and ease of maintenance, enhancing the long-term usability and adaptability of our project.

 # Project Management with *%{color:red}Redmine%*: For effective tracking and management, we use *%{color:red}Redmine%*. This tool aids in monitoring project progress, task management, and team collaboration, keeping our project well organized and on schedule.

Each component of the project, from image processing to project management, has been thoughtfully integrated to ensure optimal efficiency and usability.

*Alpha Correction*: It is a technique used when computer graphics are laid on top of both layers and single or multiple objects contain some level of transparency portion. 

It ensures that the visible pixels of the graphic that are underneath a transparent area and their color or brightness are adjusted based on the transparency degree on the upper object.

An alpha channel is a form of the mask that manages the amount of information to display from lower-lying graphics. 

*Gamma Correction*: It is a nonlinear adaptation that is applied to each value of the pixel.  In general, linear methods such as adding, subtracting, and multiplying are applied to all parts of pixels. Gamma correction is responsible for remodeling the saturation of the image by performing nonlinear methods on the input image's pixels. It is also necessary to maintain a stable gamma value, between too small or large. 

h2. *%{color:black}IMAGES%*

table{width: 100%}.

|={width: 100%; background-color: #aaf;}. *Original Image* |

|!ImageLeft0.png!|!ImageRight0.png!|

|={width: 50%; background-color: #aaf;}. *Original Left Image* |={width: 50%;background-color: #aaf;}.*Original Right Image* |

table{width: 100%}.

|={width: 100%; background-color: #adff2f;}. *Final Image* |

|!correctedleft.png!|!correctedright.png!|

|={width: 50%; background-color: #adff2f;}. *Final Left Image* |={width: 50%;background-color: #adff2f;}.*Final Right Image* |

|={width: 100%; background-color: #90ee90;}. *End Goal* |

|\2. !Whole.jpg!|