Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling

Previous studies often revealed a right-hemisphere specialization for processing the global level of compound visual stimuli. Here we explore whether a similar specialization exists for the detection of intersected contours defined by a chain of local elements. Subjects were presented with arrays of randomly oriented Gabor patches that could contain a global path of collinearly arranged elements in the left or in the right visual hemifield. As expected, the detection accuracy was higher for contours presented to the left visual field/right hemisphere. This difference was absent in two control conditions where the smoothness of the contour was decreased. The results demonstrate that the contour detection, often considered to be driven by lateral coactivation in primary visual cortex, relies on higher-level visual representations that differ between the hemispheres. Furthermore, because contour and non-contour stimuli had the same spatial frequency spectra, the results challenge the view that the right-hemisphere advantage in global processing depends on a specialization for processing low spatial frequencies.

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Automatic Endocardium Contour Tracing Method Using Active Contour Models: Accuracy Improvement of Contour Detection with Mitral Valve Processing

The Journal of The Institute of Image Information and Television Engineers ◽

10.3169/itej.63.1675 ◽

2009 ◽

Vol 63 (11) ◽

pp. 1675-1679

Author(s):

Masahiro Horie ◽

Masayuki Kashima ◽

Kiminori Sato ◽

Mutsumi Watanabe

Keyword(s):

Mitral Valve ◽

Active Contour ◽

Contour Detection ◽

Accuracy Improvement ◽

Active Contour Models ◽

Contour Tracing ◽

Contour Models ◽

Tracing Method

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Saliency Object Detection Based on Domain Transform and Contour Detection

Journal of Computer-Aided Design & Computer Graphics ◽

10.3724/sp.j.1089.2018.16778 ◽

2018 ◽

Vol 30 (8) ◽

pp. 1457

Author(s):

Zongmin Li ◽

Chenchen Zhou ◽

Yanhe Gong ◽

Yujie Liu ◽

Hua Li

Keyword(s):

Object Detection ◽

Contour Detection ◽

Saliency Object Detection

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Implications of Digital Image Processing in the Paraclinical Assessment of the Partially Edentated Patient

Revista de Chimie ◽

10.37358/rc.18.2.6139 ◽

2018 ◽

Vol 69 (2) ◽

pp. 521-524

Author(s):

Magda Ecaterina Antohe ◽

Doriana Agop Forna ◽

Cristina Gena Dascalu ◽

Norina Consuela Forna

Keyword(s):

Image Processing ◽

Image Enhancement ◽

Treatment Plan ◽

Digital Processing ◽

Contour Detection ◽

Anatomical Structures ◽

Imaging Processing ◽

Point To Point ◽

Radiological Image ◽

Processing Techniques

The application of certain digital processing techniques offers the possibility of extra accuracy in the interpretation of paraclinical examinations of this type, with profound implications in the diagnosis as well as in the hierarchy of the treatment plan. The purpose of this study is to identify the type of imaging processing for the identification of pathological elements from orthopantomographies and articular tomographies. A number of 20 orthopantomographies and 15 temporo-mandibular joint tomography have undergone through various image enhancement techniques. Various methods of image enhancement (enhancement) have been used for those procedures whereby it becomes more useful in the following aspects: specific details are highlighted; noise is eliminated; the image becomes more visually attractive. The workings were done in Corel PhotoPaint 7.0, using the automatic procedures available.The choice of a particular type of image enhancement technique has been selected for each type of pathology found in orthopantomographies or articular tomography, providing the best accuracy for an optimal imaging interpretation that underpins a precision diagnosis.Of the most useful imaging processing in the optimization of the orthopantomographic image accuracy the point-to-point transformations are to be noted. The image processing proposed in this article focused primarily on improving the radiological image attributes to highlight specific anatomical structures, and secondly, the contour detection, where it was necessary for the diagnostic purposes as well.

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