Design methodology to check the quality of the image in a mobile environment — State of the art

This paper presents a methodology to measure the level of focus and to identify the areas of the skin with high levels of Specular-reflection that are uploaded to the BTBP mobile application for skin analysis. Measuring this information makes it possible to give the user feedback on the quality of their image capture, and how to improve future captures. Specular-Reflection is excessive reflection from the skin's surface has a detrimental effect on skin analysis. In order to avoid such problems we need to identify areas of intense Specular-Reflection and eliminate those areas from analysis. The concept used here is histogram analysis. Each time an image is captured, the camera's auto-focus is used to try and achieve optimal focus. Occasionally this can fail and result in an image that is out-of-focus and therefore undesirable In order to reject these images, focus level quantification is necessary. Referring to the edge information of the objects in the image, calculate the level of sharpness in the image. Filtering and image enhancement concepts will be used for this implementation. This will be implemented using the C# platform and will utilize the Open CV library. This includes learning about Image declarations, image data reading and assigning in C#.