Abstract
This paper presents the image processing implementation in Raspberry Pi. Raspberry Pi is a system built-in and is a low-cost computer that can be used to reduce system complexity in real-time applications. For programming, it's very good to use Python. Raspberry pi has a Camera Slot Interface (CSI) to interface the camera with Raspberry Pi. Low contrast images captured using the Raspberry Pi camera module can be scaled up first to identify specific image regions. The most important processing is the removal of noise as a result of noise disturbance during image acquisition on the camera. Due to its small size, which is about the size of a credit card and its lightweight, raspberry pi is very suitable for use as a portable medical image processing system. Besides that Raspberry Pi also consumes low power.
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