Detecting function patterns with interval Hough transform

Takimoto, Rogério Y.; Neves, Andre Chalella das; Mafalda, Rovilson; Sato, Ayami; Tavares, Renato Seiji; Stevo, Neylor Antunes; Tsuzuki, Marcos de Sales Guerra

doi:10.1109/induscon.2010.5740072

Cited by 3 publications

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To overcome this drawback the radius can be held as a constant or limited to number of known radii [22]. This has triggered the involvement of interval arithmetic in Hough calculation [23].…”

Section: Theoretical Aspects Of Hough Transformmentioning

confidence: 99%

Measuring Lung Abnormalities In Images-Based Ct

Lay-Ekuakille

Vergallo

Jablonski

et al. 2016

International Journal on Smart Sensing and Intelligent Systems

View full text Add to dashboard Cite

Diagnosis by imaging is one of the most important findings in biomedical imaging because it allows not only the diagnosing of a specific pathology but to perform online and offline surgical operations using imaging as it is noticed in interventional radiology. This paper illustrates the use Hough transform in identifying pathological structures included in CT (Computer Tomography) and HRCT (High Resolution Computer Tomography) images related to patients suffering from lung disease. These abnormal areas appear as bulges of the trophic vessels and they are similar to circular structures with level of lighter gray near to white. Circular Hough transform (CHT) identifies regions with a circular shape. However, a metrics is defined in order to understand if the pointed out area has a pathological morphology. CHT is used here for helping to detect possible events of indolent tumors or undetermined significance pathologies for lung apparatus. For this aim, we use entropy approach with CHT because it measures the scatter of the directional elements in an image. In fact a high entropy value is related to areas with a strong contrast in grayscale, and abnormalities in the image are present as a set of points with more lighter than the dark background. The results have shown, by means of an accuracy true table, rendering a comparison between clinicians'diagnosis and CHT detection, it is possible to indicate, with a better accuracy, potential areas of undetermined significance pathologies. Finally, a receiver operational curve (ROC) is used as an accuracy index for evaluating the positive impact of entropy on diagnosis.hospital clinicians Francesco Biancofiore (R.I.P), who recently has departed and Sergio Agati, and the interventional radiology expert Luigi De Feo for their help in medical interpretation issues. A special thank is tributed to Prof. Francesco Lamonaca for discussions in Hough Transform for lung imaging.

show abstract

Section: Theoretical Aspects Of Hough Transformmentioning

confidence: 99%