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Boolean derivatives with application to edge detection for imaging systems
This paper introduces a new concept of Boolean derivatives as a fusion of partial derivatives
of Boolean functions (PDBFs). Three efficient algorithms for the calculation of PDBFs are …
of Boolean functions (PDBFs). Three efficient algorithms for the calculation of PDBFs are …
Shape-dependent canny edge detector
Edges characterize the boundaries of objects in images and are informative structural cues
for computer vision and target/object detection and recognition systems. The Canny edge …
for computer vision and target/object detection and recognition systems. The Canny edge …
[PDF][PDF] Progressive edge detection on multi-bit images using polynomial-based binarization
Edge Detection is an important image processing operation with applications such as 3D
reconstruction, recognition, image enhancement, image restoration and compression …
reconstruction, recognition, image enhancement, image restoration and compression …
Nonreference medical image edge map measure
Edge detection is a key step in medical image processing. It is widely used to extract
features, perform segmentation, and further assist in diagnosis. A poor quality edge map can …
features, perform segmentation, and further assist in diagnosis. A poor quality edge map can …
New edge detection algorithms using alpha weighted quadratic filter
In this paper, we introduce two novel edge detection algorithms based on a negative alpha
weighted quadratic filter. The goal of this work is to utilize the characteristics of the nonlinear …
weighted quadratic filter. The goal of this work is to utilize the characteristics of the nonlinear …
Asymmetric and symmetric gradient operators with application in face recognition in Renaissance portrait art
Automatic face recognition research includes a wide range of commercial and law
enforcement applications. However, only a few works focus on face recognition in the …
enforcement applications. However, only a few works focus on face recognition in the …
A new reference-based measure for objective edge map evaluation
Edge detection is an important preprocessing task which has been used extensively in
image processing. As many applications heavily rely on edge detection, effective and …
image processing. As many applications heavily rely on edge detection, effective and …
Coordinate logic transforms and their use in the detection of edges within binary and grayscale images
This paper introduces coordinate logic (CL) transforms as an alternative method for
calculating coordinate logic (CL) filters. Additionally, a new measure and detection …
calculating coordinate logic (CL) filters. Additionally, a new measure and detection …
A new class of edge detection algorithms with performance measure
S Nercessian - 2009 - search.proquest.com
Edge detection is fundamental task for computer vision systems. It has been used
extensively as a preprocessing step for a myriad of image processing algorithms, including …
extensively as a preprocessing step for a myriad of image processing algorithms, including …
A generalized set of kernels for edge and line detection
Edge detection is an important image processing task which has been used extensively in
object detection and recognition. Over the years, many edge detection algorithms have been …
object detection and recognition. Over the years, many edge detection algorithms have been …