Aplikasi Pengolahan Citra Mri Untuk Deteksi Area Kanker Otak Dengan Menggunakan Metode Robinson
DOI:
https://doi.org/10.47065/jieee.v1i3.352Keywords:
MRI image processing; detection; Robinson methodAbstract
Brain cancer can originate from neural elements in brain tissue that are not normal, this brain cancer is primary or is a metastasis. Disorders caused by brain cancer can damage the central nerves in the brain and result in cognitive nervous system damage. Based on data compiled by the International Agency for Research on Cancer, more than 126,000 people worldwide suffer from brain cancer each year and more than 97,000 die. Several things are related because it is difficult to see visually because in general the boundaries are not clear what else if it is still at an early stage, the contrast is not clear and sometimes even resembles normal tissue. The problem faced by experts is that it is difficult to distinguish brain cancer from normal tissue if the age of brain cancer is still in its early stages because the contrast is still not clear. The Robinson method was introduced by Robinson in 1997. This operator is identical to a 6x6 matrix with H1 to H8, because a 3 level Robinson operator convolution table calculates the direction and presence of an edge is done in 2 steps, the main step of the calculation method is the same as the Kirsch calculation, the difference is only on the mask (kernel) value
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