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ABSTRAK
Deteksi tepi merupakan bagian dari pengolahan citra. Deteksi tepi adalah proses untuk menghasilkan garis batas dari suatu objek yang terdapat pada citra. Deteksi tepi memiliki beberapa operator seperti operator Laplacian, Laplacian of Gaussian dan Difference Of Gaussian. Pendeteksi tepi dengan menggunakan citra berwarna sudah biasa, namun disini dilakukan deteksi tepi menggunakan citra hasil dari camera digital yang mana citra sudah diberikan efek dengan format JPEG (*.jpg). Citra yang telah diberi efek Light Color akan di deteksi tepi dan akan dibandingkan dengan ketiga operator tersebut. Hasil dari citra digital maupun yang sudah diberi efek Light Color akan di inputkan kedalam program dan akan dibandingkan dengan deteksi tepi dengan menggunakan operator Laplacian, Laplacian of Gaussian dan Difference Of Gaussian dan parameter yang digunakan untuk mengukur nilai perbandingan antara ketiga operator deteksi tepi yaitu MSE, PSNR, Running Time dan Kompleksitas Theta. Berdasarkan hasil pengujian diperoleh bahwa nilai rata-rata MSE dan PSNR operator Laplacian 13052,7 dan 0.708 deciBel dengan nilai rata-rata Running Time 0.3534 detik, nilai rata-rata MSE dan PSNR operator Laplacian Of Gaussian 13858,01 dan 0.684 deciBel dengan nilai rata-rata Running Time 0.7088 detik, nilai rata-rata MSE dan PSNR operator Difference of Gaussian 8492,8 dan 0.889 deciBell nilai rata-rata Running Time 0.5974 detik. Dan deteksi tepi citra digital yang terbaik terhadap citra digital yang telah diberikan efek adalah untuk running time metode Laplacian lebih baik dibandingkan dengan metode LoG dan DoG, untuk nilai MSE terkecil metode Dog lebih baik dibandingkan dengan metode Laplacian dan Log, dan untuk nilai PSNR terbesar metode LoG lebih baik dibandingkan dengan metode Laplacian dan Dog.
Kata Kunci : Pengolahan Citra, Deteksi tepi, Laplacian, Laplacian of Gaussian, Difference Of Gaussian, Camera Digital, Light Color.
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IMPLEMENTATION AT THE RESULT DIGITAL IMAGE COMPARISON METHOD USING LAPLACIAN, LAPLACIAN OF GAUSSIAN AND
DIFFERENCE OF GAUSSIAN
ABSTRACT
Edge detection is part of the image processing. Edge detection is a process for producing a boundary of an object contained in the image. Edge detection has several operators such as the Laplacian operator, Laplacian of Gaussian and Difference Of Gaussian. Edge detection by using color images are used, but here is done using the image of the edge detection of digital camera in which the image has been given effect with JPEG (* .jpg). The image that has been given effect Light Color will be on edge detection and will compare with the three operators. Results of digital image and that has been given effect Light Color will be fed into the program and will be Compared with edge detection by using operator Laplacian, Laplacian of Gaussian and Difference Of Gaussian and parameters used to measure the value of a comparison between the third edge detection operator is MSE, PSNR, Running Time and complexity Theta. Based on the test results showed that the average value of MSE and PSNR Laplacian operator 13052.7 and 0708 Decibel with an average value Running Time 0.3534 seconds, the average value of MSE and PSNR operator Laplacian Of Gaussian 13858.01 and 0684 Decibel with average value average Running Time 0.7088 seconds, the average value of MSE and PSNR Difference of Gaussian operator 8492.8 and 0889 deciBell average value Running Time 0.5974 seconds. And edge detection digital image of the best of the digital image that has been given effect is to running time method Laplacian better than the method logs and dogs, to the value of the smallest MSE methods Dog is better than the method Laplacian and Log, and for PSNR The method LOG is better than the method Laplacian and Dog.
Keywords : Image Processing, Edge detection, Laplacian, Laplacian of Gaussian, Difference Of Gaussian Digital Camera, Light Color.
