Manipulasi Handycam sebagai Kamera Citra Termal untuk Deteksi Dini Kanker Payudara dengan Metode Images Processing menggunakan Matlab Rio Riantana, Berton Arie, Muhammad Adam, Nuryani

Abstract

In detecting early symptoms of breast cancer, one of the important things to wary is changes of temperature of the breast. Increasing temperatures breast was an indication of the symptoms of breast tissue abnormalities. The principle of this project is to change the infrared image form of grayscale to thermal image in the form polychromatik (colorful), by breaking the grayscale image into a matrix of code per pixel and combines back and displayed in scale color. Handycam in night vision mode by the interference of external infrared can penetrate into the skin better and can make an infrared image becomes clearer. Program PERKARA is able to change the black and white images from a camcorder into a thermal image by breaking into Grayscale RGB matrix structure. Once the matrix is rearranged in the new matrix with double data type so that it can be processed into contour color chart to differentiate the distribution of body temperature in the processed image. The graphics processing by differentiating levels of gray of the image to obtain different colors. In Program PERKARA are also features of a scale setting the contrast of the image is processed so that the color of detail can be set as desired. There was also a contrast adjustment feature inverse scale that is useful to reverse the color scale so that colors can be changed into its opposite.