Improved Edge Detection Based on Adaptive Gaussian Smoothing in X-Ray Image
Derry Setiawan, Ade Pratama, Sudibyo, Moch Arief Soeleman · 2018 International Seminar on Application for Technology of Information and Communication · 2018
Currently technological developments are needed in all aspects of human life. It also covers the provision of data or information because it is related to someone's life. Data or information that provided in image formats is developed in health field of a human's life because it contains a lot of information about patient health that can't be described by text or audio format. Currently due to the human body is susceptible to radiation rays then as long as the patient is detected by x-ray it will be subjected to a process of radiation exposure so that the x-ray image results in a decrease (degradation) of quality. There are several operations used in image processing to solve that problem. One of them is an edge detection. Due to the current edge detection is still considered not perfect because there is still Gaussian noise. So in this paper proposed method to improve image quality from quantum noise disorder by improving the method of Sobel, so can help the medical world in detecting a disease.