Penerapan Metode Morfologi Gradien Untuk Perbaikan Kualitas Deteksi Tepi Pada Citra Motif Batik

Sutikno, Arif; Utami, Emma; Sunyoto, Andi

doi:10.35842/jtir.v9i26.91

Cited by 2 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The morphological gradient is a process of drawing objects in the image to clarify the edges of each object [41]. Gradient morphology can also be called edge image because with the performance of this technique it can reduce the results of the thickening and thinning operation of the image that accentuates the edges of the object [42]. Morphological operations are operations that are commonly used to change the shape of objects contained in the image [43].…”

Section: Morphological Gradientmentioning

confidence: 99%

Optimization Ground Glass Opacities (GGO) Detection Using Multipixel Interpolation Techniques

Yanto¹,

Wiyandra²

2022

J. RESTI (Rekayasa Sist. Teknol. Inf.)

View full text Add to dashboard Cite

Ground Glass Opacities (GGO) are a picture of abnormal lung conditions characterized by white or gray areas. This picture of GGO in the lungs could previously be detected based on the results of medical examinations such as Computerized Tomography (CT scan) and Magnetic Resonance Imaging (MRI) images of patients suffering from Covid-19. However, from the results of the examination, it can be seen that the CT scan and MRI images still have a noise level that is too high, causing difficulties in describing the distribution pattern of the GGO itself. The purpose of this study was to optimize the detection of GGO on MRI images using the Multipixel Interpolation technique. The detection process adopts several stages including image preprocessing, edge detection process, and gradient morphological segmentation. Image preprocessing is done to remove noise and improve the MRI input image. The edge detection process is carried out to detect lung organs automatically using the Canny method which is optimized with the multipixel interpolation technique. The final stage of the research is the segmentation process using a gradient morphology technique to see the spread of GGO in patients with Covid-19 contained in the MRI image. The results of this study present an overview of the GGO pattern with fairly good results. The results of the GGO pattern description will also measure the level of spread to see the severity of pneumonia. Based on the results presented, this research is useful as an alternative solution in the process of diagnosis and treatment of Covid-19 patients.

show abstract

Section: Morphological Gradientmentioning

confidence: 99%

Optimization Ground Glass Opacities (GGO) Detection Using Multipixel Interpolation Techniques

Yanto¹,

Wiyandra²

2022

J. RESTI (Rekayasa Sist. Teknol. Inf.)

View full text Add to dashboard Cite

show abstract

“…First-order edge detection works by using derivatives or first-order differentials, which are included in the first order are Sobel, Prewitt, Robert and Canny. Second-order detection uses a second-order derivative, namely Laplacian of Gaussian (LoG) [14]. This research compares the results of the output using the Roberts, Prewitt, and Sobel methods which are gradient operators to detect edges in facial images.…”

Section: Introductionmentioning

confidence: 99%

Image Edge Detection Capture Zoom for Facial Recognition Using Gradient Operators

Hadi

Sumijan

2022

komtekinfo

View full text Add to dashboard Cite

Imagery on edge detection is a process that will display the edges of an image. Basically, edge detection is one of the techniques for the analysis of image quality in the spatial domain and is also one of the initial process in digital image processing. Edge detection serves to detect the border line of an object contained in the image. This study aims to identify and recognize face pattern objects in the capture zoom image. To perform face identification begins with collecting image data, image processing, image edge detection, thinning of the image, and identification process using the template matching method. The method used in edge detection uses 3 methods, namely Sobel, Roberts and Prewitt which are gradient operators to detect edges in facial images. The dataset used is image capture zoom. The trial was carried out in two stages, namely the identification of the face shape and the identification of the edges of the face. The conclusion of the study is that the Roberts operator is the operator that finds the least edge patterns in facial images than the other two operators, namely Prewitt and Sobel. Meanwhile, the Sobel operator produces edge patterns that are better in quality and quantity than using the Roberts and Prewitt operators.

show abstract

Penerapan Metode Morfologi Gradien Untuk Perbaikan Kualitas Deteksi Tepi Pada Citra Motif Batik

Cited by 2 publications

References 4 publications

Optimization Ground Glass Opacities (GGO) Detection Using Multipixel Interpolation Techniques

Optimization Ground Glass Opacities (GGO) Detection Using Multipixel Interpolation Techniques

Image Edge Detection Capture Zoom for Facial Recognition Using Gradient Operators

Contact Info

Product

Resources

About