Klasifikasi Penyakit Paru Berdasarkan Citra Rontgen dengan Metoda Segmentasi Sobel

Lung disease is one of the diseases that are prevalent in society. Often there is a delay in the treatment of this lung disease. These delays are often caused by ignorance of the community in the proper handling and lack of clear information about lung disease. One way to detect lung disease is by reading the X-ray images are correct and are usually carried out by experts who are experts on the X-ray results. But to get the diagnosis depends on the schedule of expert practice and takes a long time. To ease the difficulties of this society, so in this study built applications that can analyze X-ray images based on image processing. The data is processed there are 41 (forty-one) X-ray image of the segmentation of the lung region. Then the lung region performed edge detection based on Sobel operator . The test results obtained from the comparison of pixels between the results of edge detection on the lung region, which classifies six (6) types of lung disease with a percentage interval for bronchitis of 1.43% - 1.59%, pleurisy 1.43% - 1.59 %, pneumonia 2.00% - 2.50%, tuberculosis 2.86% - 3.79%, emphysema 4.16% - 4.76% and lung cancer 76.72% - 94.85%