Image processing involves converting an image into a digital format and executing specific procedures to extract essential information from it. There are various types of images processing techniques, including visualization, which enables the detection of objects that may be invisible in the original image, and recognition, which focuses on identifying objects within the image, among others. The objective of this project is to develop a mobile application to determine the presence of colour blindness among users and to identify the colours of clothing using image processing techniques. Image processing has been widely utilized across numerous fields to enhance quality of life, such as in medical image retrieval, where it aids in increasing the accuracy of treatment plans. In this project, image processing will be applied to assist individuals with colour blindness in identifying the actual colours within images. The project consists of two main sections: a colour blindness test and real-time colour identification using the device's camera. The system will be developed using Android Studio, utilizing both Java and Python, with the assistance of a Python plugin to enable the execution of Python code on the Android platform. During the testing phase, the functionality and accuracy of the system will be evaluated by individuals with normal vision as well as those with colour blindness. For this project, the Mobile Application Development Lifecycle (MADLC) framework is chosen, as the end product is a mobile application. MADLC comprises five phases: planning, designing, developing, testing, and deploying.
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