Implementing Canny Edge Detection Algorithm for Different Blurred and Noisy Images

Hafsia, Touka; Belhaj, Asma; Tlijani, Hatem; Nouri, Khaled

doi:10.1109/sta56120.2022.10019120

Cited by 2 publications

(1 citation statement)

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“…Deteksi objek merupakan salah satu dasar dalam computer vision, salah satu yang penting adalah mengidentifikasi objek kemudian mengklasifikasi dalam kelas objek [1] [2] [3]. Informasi dasar yang dibutuhkan dari sebuah objek secara sederhana adalah informasi tepi gambar yang merupakan salah satu yang paling penting sehingga dapat menggambarkan garis besar target, posisi relatif dalam area target, dan informasi penting lainnya [4].…”

Section: Pendahuluanunclassified

Penerapan Algoritma Deteksi Tepi Canny Menggunakan Python Dan Opencv

Saluky¹,

Marine²

2023

smart-techno

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Object detection is one step in object recognition in the field of computer vision. The edges of the image characterize the boundaries that distinguish it from other objects and are therefore a very important problem in image processing. Accurate Image Edge Detection can significantly reduce the amount of data and filter out useless information while retaining important structural properties in the image. Since edge detection is at the forefront of image processing for object detection, it is very important to have a good understanding of edge detection algorithms. In this study, applying canny edge detection using python and OpenCV and also compared with other image processing methods. The result is that Canny edge detection has a better performance compared to other algorithms such as LoG (Laplacian of Gaussian), Robert, Prewitt and Sobel.

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Section: Pendahuluanunclassified