Sinkron : Jurnal dan Penelitian Teknik Informatika
Vol. 3 No. 2 (2019): SinkrOn Volume 3 Number 2, April 2019

Implementation of Sobel Method Based Edge Detection for Flower Image Segmentation

Asmaidi, Asmaidi (Unknown)
Putra, Darma Setiawan (Unknown)
Risky, Muharratul Mina (Unknown)
R, Fitria Ulfa (Unknown)



Article Info

Publish Date
16 Mar 2019

Abstract

Edge detection is the first step to cover information in the image. The edges characterize the boundaries of objects and therefore edges are useful for the process of segmentation and identification in the image. The purpose of edge detection is to increase the appearance of the boundary line of the object in the image. The sobel method is a method that uses two kernels measuring 3x3 pixels for gradient calculations so that the estimate gradient is right in the middle of the window. Digital image processing aims to manipulate image data and analyze an image with the help of a computer. Matlab is made to facilitate the use of two collections of subroutines in the fortran library, linpack and eispack, in handling matrix computing, and develops into an interactive system as a programming language. Experimental results from the input image research, namely the flower image have different MSE values because each input image has a different pixel value

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Journal Info

Abbrev

sinkron

Publisher

Subject

Computer Science & IT

Description

Scope of SinkrOns Scientific Discussion 1. Machine Learning 2. Cryptography 3. Steganography 4. Digital Image Processing 5. Networking 6. Security 7. Algorithm and Programming 8. Computer Vision 9. Troubleshooting 10. Internet and E-Commerce 11. Artificial Intelligence 12. Data Mining 13. Artificial ...