On classical and fuzzy Hough transform in colonoscopy image processing

Nagy, Szilvia; Ismail, Raneem; Sziová, Brigita; Kóczy, László T.

doi:10.1109/africon51333.2021.9570897

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…For this purpose, the Hough Transform is applied to them [23]. The Hough Transform is a widely used technique in image processing to detect straight lines [24]- [26] or in point clouds to detect 3D structures [27]. In these scenarios, the transform considers pixels in an image that have a fixed size and a regular distribution.…”

Section: B Powerline Detection: Hough Transform Adapted To 3d Point C...mentioning

confidence: 99%

Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys

Yermo,

Laso,

Lorenzo

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Powerline inspection and modelization using airborne LiDAR (Light Detection And Ranging) data has been widely studied through the years. However, to the best of our knowledge, the proposed methods rely on intentional flights carried out along the high-voltage powerline. Thus, the stateof-art studies focus on detecting and characterizing a single powerline whose presence and location are known beforehand. We propose a method to detect and model powerlines of any voltage from airborne LiDAR point clouds not necessarily acquired for this purpose. Also, the method is suitable to be applied to those point clouds whose density is usually lower than that obtained using specific purpose flights over the powerlines. Our solution starts filtering most of the points that do not belong to electric conductors. Then, the Hough Transform is used to detect straight lines. Its output is then used to cluster the electric conductors. Also, we propose a solution to bypass a common issue regarding the non-maxima suppression often used in object detection algorithms. Furthermore, a robust method to cluster conductors sharing the same vertical plane is presented, being able to return good results even in the absence of parts of any electrical conductor. The algorithm is tested in several datasets containing high-voltage powerlines and others, comprising mid and low-voltage electric conductors. Finally, a study of the computational performance shows that the algorithm can efficiently take advantage of manycore systems, which is essential to determine the feasibility of our approach on massive LiDAR point clouds.

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Section: B Powerline Detection: Hough Transform Adapted To 3d Point C...mentioning

confidence: 99%

Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys

Yermo,

Laso,

Lorenzo

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…As a first step we introduced fuzzy Hough transform, as it provides more tolerance to the deviations from the ideal curve's points, and colorectal polyps in real colonoscopy images are not precisely circular [40].…”

Section: Introductionmentioning

confidence: 99%

A Novel Gradient-Weighted Voting Approach for Classical and Fuzzy Circular Hough Transforms and Their Application in Medical Image Analysis—Case Study: Colonoscopy

Ismail

Nagy

2023

Applied Sciences

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Classical circular Hough transform was proven to be effective for some types of colorectal polyps. However, the polyps are very rarely perfectly circular, so some tolerance is needed, that can be ensured by applying fuzzy Hough transform instead of the classical one. In addition, the edge detection method, which is used as a preprocessing step of the Hough transforms, was changed from the generally used Canny method to Prewitt that detects fewer edge points outside of the polyp contours and also a smaller number of points to be transformed based on statistical data from three colonoscopy databases. According to the statistical study we performed, in the colonoscopy images the polyp contours usually belong to gradient domain of neither too large, nor too small gradients, though they can also have stronger or weaker segments. In order to prioritize the gradient domain typical for the polyps, a relative gradient-based thresholding as well as a gradient-weighted voting was introduced in this paper. For evaluating the improvement of the shape deviation tolerance of the classical and fuzzy Hough transforms, the maximum radial displacement and the average radius were used to characterize the roundness of the objects to be detected. The gradient thresholding proved to decrease the calculation time to less than 50% of the full Hough transforms, and the number of the resulting circles outside the polyp’s environment also decreased, especially for low resolution images.

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On Applying Gradient Based Thresholding on the Canny Edge Detection Results to Improve the Effectiveness of Fuzzy Hough Transform for Colonoscopy Polyp Detection Purposes

Ismail

Prukner

Nagy

2022

New Approaches for Multidimensional Signal Processing

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On classical and fuzzy Hough transform in colonoscopy image processing

Cited by 4 publications

References 16 publications

Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys

Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys

A Novel Gradient-Weighted Voting Approach for Classical and Fuzzy Circular Hough Transforms and Their Application in Medical Image Analysis—Case Study: Colonoscopy

On Applying Gradient Based Thresholding on the Canny Edge Detection Results to Improve the Effectiveness of Fuzzy Hough Transform for Colonoscopy Polyp Detection Purposes

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