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Journal from gdlhub / 2019-07-26 16:31:57
Oleh : Anthony Y. Aidoo, Matilda Wilson, Gloria A. Botchway, Telkomnika
Dibuat : 2019-07-25, dengan 1 file

Keyword : chest radiograph, image enhancement, mathematical morphology, wavelet decomposition
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/11964
Sumber pengambilan dokumen : WEB

Medical image processing algorithms significantly affect the precision of
disease diagnostic process. This makes it crucial to improve the quality of a medical image with the goal to enhance perceivability of the points of interest in order to obtain accurate diagnosis of a patient. Despite the reliance of various medical diagnostics on utilize X-rays, they are usually plagued by dark and low contrast properties. Sought-after details in X-rays can only be accessed by means of digital image processing techniques, despite the fact that these techniques are far from being perfect. In this paper, we implement a wavelet decomposition and reconstruction technique to enhance radiograph properties, some of which include contrast and noise, by using a series of morphological erosion and dilation to improve the visual quality of the chest radiographs for the detection of cancer nodules.

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