Edge detection using guided Sobel image filtering
Edge detection plays a vital role in numerous engineering and scientific applications,
serving as a crucial technique for identifying disruptions, irregularities, boundaries, and …
serving as a crucial technique for identifying disruptions, irregularities, boundaries, and …
A hybrid edge detection mechanism based on edge preserving filtration and type-1 fuzzy logic
Edge detection is a phenomenon that is utilized to identify discontinuity, roughness, and
boundaries in a variety of engineering and scientific problems. The edge detection …
boundaries in a variety of engineering and scientific problems. The edge detection …
Pseudo CT estimation using patch-based joint dictionary learning
Magnetic resonance (MR) simulators have recently gained popularity; it avoids the
unnecessary radiation exposure associated with Computed Tomography (CT) when used …
unnecessary radiation exposure associated with Computed Tomography (CT) when used …
Detection of brain tumor in MRI images, using a combination of fuzzy C-means and thresholding
The identification, segmentation, and detection of the infected area in brain tumor is a
tedious and a time-consuming task. The different structures of the human body can be …
tedious and a time-consuming task. The different structures of the human body can be …
[HTML][HTML] Contrast-Invariant Edge Detection: A Methodological Advance in Medical Image Analysis
D Li, PCI Pang, CK Lam - Applied Sciences, 2025 - mdpi.com
Edge detection methods are significant in medical imaging-assisted diagnosis. However,
existing methods based on grayscale gradient computation still need to be optimized in …
existing methods based on grayscale gradient computation still need to be optimized in …
The implementation of fisher yates shuffle on aljabar learning media based on hybrid application
Learning media are widely circulated in the school environment, especially Madrasah
Tsanawiyah is a native-shaped media for a particular type of smart phone. There is a …
Tsanawiyah is a native-shaped media for a particular type of smart phone. There is a …
Image Segmentation: Classification and Implementation Techniques
Image segmentation implies that splitting a picture into several distinct portions must meet
certain criteria. In various requirements, the goal is for the areas to represent different …
certain criteria. In various requirements, the goal is for the areas to represent different …
A survey of diverse segmentation methods in image processing
R Goyal - 2022 IEEE International Conference on Current …, 2022 - ieeexplore.ieee.org
The importance of image-processing techniques has increased across a wide range of
applications as a result of advancements in computer technology. An important stage in the …
applications as a result of advancements in computer technology. An important stage in the …
Improved fuzzy c-means and k-means algorithms for texture and boundary segmentation
Image segmentation is one of the most significant and inevitable task in variety areas
ranging from face/object/character recognition and medical imaging applications to robotic …
ranging from face/object/character recognition and medical imaging applications to robotic …
Edge detection technique using ACO with PSO for Noisy image
A Gautam, M Biswas - Recent Developments in Machine Learning and …, 2019 - Springer
In image processing, the edges of an image are those pixels whose intensity values
changes drastically. Various techniques have been applied which rely on the ant colony …
changes drastically. Various techniques have been applied which rely on the ant colony …