Carlos Antonio Jacanamejoy

Carlos Antonio Jacanamejoy
Universidad de Ibagué · Ciencias Naturales y Matemáticas

About

13
Publications
2,254
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26
Citations

Publications

Publications (13)
Article
Full-text available
Phase congruency is a technique that has been used for edge, corner and symmetry detection. Its implementation through the use of monogenic filters has improved its computational cost. For this purpose, different methods of implementation have been published, but they do not use a common notation, which makes it difficult to understand. Therefore,...
Code
This plugin is based in part on the code developed by Peter Kovesi (https://www.peterkovesi.com/matlabfns/PhaseCongruency/phasecongmono.m). Installation: Download the Phase_Congruency.zip, unzip the folder and copy it following the structure of the Phase_Congruency folder. Compile and run using Plugins/Compile and Run. Restarting ImageJ; there will...
Chapter
Phase congruency is an advanced technique for edge detection in images. However, in the original technique, edge detection errors can occur when at least one side of the image is not a power of two. In this paper, this problem, not reported before, and its origin are exposed and two ways of correction are proposed to reduce this problem. The propos...
Chapter
Gaussian noise estimation is an important step in some of the more recently developed noise removal methods. This is a difficult task and although several estimation techniques have been proposed recently, they generally do not produce good results. In a previous comparative study, among several noise estimation techniques, a method proposed in 201...
Chapter
This chapter presents different image segmentation methods that have been proven to be suitable for diatom detection. Methods are divided into classical and deep learning techniques. Moreover, within these methods, a distinction can be made according to the segmentation of images containing several taxon shells or single taxa. For this purpose, an...
Data
This plugin is based in part on the code developed by Peter Kovesi (https://www.peterkovesi.com/matlabfns/PhaseCongruency/phasecongmono.m), with the modifications introduced in the papers mentioned before.
Chapter
Phase congruency is a relative unknown and powerful image processing technique for segmentation, having been used in diatom image processing, microscopic algae found in water and used to evaluate its quality. However, an important limitation of phase congruence is its sensitivity to noise. To prevent noise from affecting segmentation results, a goo...
Article
Full-text available
This paper introduces a method to enforce balanced power distribution between the stages of a single-phase transformer-based cascaded multilevel inverter using the new asymmetric ratio 6:7:8:9 between stages. Since the inverter is fed by a single DC source, asymmetry is enforced by means of the transformer turns ratio providing multiple redundant s...
Article
Full-text available
This paper introduces a method to enforce balanced power distribution between the stages of a single-phase transformer-based cascaded multilevel inverter using the new asymmetric ratio 6:7:8:9 between stages. Since the inverter is fed by a single DC source, asymmetry is enforced by means of the transformer turns ratio providing multiple redundant s...
Chapter
Phase congruence technique developed by Kovesi allows the detection of edges in images by analyzing the phases of their frequency components. A limitation of this technique is that it does not allow the detection of closely spaced edges that have different intensities. However, this situation occurs frequently in images, which therefore limits the...

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Projects

Projects (3)
Project
Study the Phase Congruency technique in order to propose improvements and extend its applications to different fields of image processing.
Project
In this project, different theoretical-practical problems of digital image processing are studied, seeking to improve already published techniques or create new ones that allow to solve the problems posed.
Project
Generar grupos de preguntas de selección múltiple con única respuesta que tengan un nivel de dificultad. Comprender la manera en que se pueden variar los parámetros de un problema para moderar la dificultad de su solución.