Open AccessEdge Detection to Make Drawing Sketch using Laplacian Operator and Gabor Wavelet for Learning Devices
Author(s) -
Samsir,
Edi Firman,
Li Wang,
Srie Hartati,
Sondang,
Ronsen Purba
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1764/1/012070
Subject(s) - sketch , artificial intelligence , image processing , computer science , computer vision , image (mathematics) , edge detection , laplace operator , operator (biology) , process (computing) , wavelet , object (grammar) , feature detection (computer vision) , pattern recognition (psychology) , mathematics , algorithm , mathematical analysis , biochemistry , chemistry , repressor , transcription factor , gene , operating system
Image processing plays important role. Image processing is signal processing where the input is an image, while the output from image processing can be an image or a number of characteristics or parameters related to the image. So the image can be changed in such a way as needed. One of the goals of image processing is to make learning devices. Learning tools in the form of sketch drawings that are needed in the world of education. In this study Laplacian operators will use edge detection to produce sketches. Edge detection is a process to produce edges of an object image, the purpose is to mark the part that becomes the image details Laplacian Operators aim to trace points in the image that are considered as edges of an object, which limit an objects area to one another. Another goal of Laplacian operations is to increase the appearance of the boundary lines of an area or object in the image. With this combination good sketches will be produced and can be utilized in making learning tools.