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using binary morphological reconstruction

by Matheus Cardoso Moraes, Diego Arm, O Cardona Cardenas, Sérgio Shiguemi Furuie
"... Background: Atherosclerosis causes millions of deaths, annually yielding billions in expenses round the world. Intravascular Optical Coherence Tomography (IVOCT) is a medical imaging modality, which displays high resolution images of coronary cross-section. Nonetheless, quantitative information can ..."
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. Second, in the feature extraction block, wavelet is associated with an adapted version of Otsu threshold; hence, tissue information is discriminated and binarized. Finally, binary morphological reconstruction improves the binary information and constructs the binary lumen object. Results: The evaluation

Narrow branch preservation in morphological reconstruction

by Kevin Robinson, Paul F. Whelan - In Irish Machine Vision and Image Processing Conference , 2004
"... We present a morphological approach to the reconstruction of fine branching structures in three dimensional data, developed from the basic procedures of reconstruction by dilation. We address a number of closely related questions arising from this reconstruction goal, including issues of struc-turin ..."
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We present a morphological approach to the reconstruction of fine branching structures in three dimensional data, developed from the basic procedures of reconstruction by dilation. We address a number of closely related questions arising from this reconstruction goal, including issues of struc

MORPHOLOGICAL RECONSTRUCTION: A DOWNHILL FILTER

by Kevin Robinson
"... The downhill filter algorithm described in this paper isolates and preserves an ar-bitrarily complex connected high intensity region in the data, while attenuating neigh-bouring, possibly intertwined, but unconnected regions of high signal intensity. It implements an elegant and efficient single pas ..."
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pass equivalent to the more computationally expensive algorithms for morphological greyscale reconstruction by dilation which cur-rently exist. In principle reconstruction by dilation consists of the iterative application of the geodesic dilation operator, applied until stability. Our algorithm

Painting Crack Elimination Using Viscous Morphological Reconstruction

by unknown authors
"... A method for the elimination of cracks in infrared reflectograms is presented. Infrared reflectograms show the underdrawing – the basic concept of the artist drawn on the ground layer – in ancient wood panel paintings. Caused by different mechanical behaviour of the panel and the covering ground lay ..."
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layer during the aging of the painting, cracks appear. Cracks not only disturb the appearance of a painting, but are also a problem for segmenting the lines and strokes of the underdrawing. A method based on mathematical morphology, namely morphological reconstruction with viscosity, is used

Painting Crack Elimination Using Viscous Morphological Reconstruction

by Allan Hanbury Paul , 2003
"... A method for the elimination of cracks in infrared reflectograms is presented. Infrared reflectograms show the underdrawing -- the basic concept of the artist drawn on the ground layer -- in ancient wood panel paintings. Caused by different mechanical behaviour of the panel and the covering ground l ..."
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layer during the aging of the painting, cracks appear. Cracks not only disturb the appearance of a painting, but are also a problem for segmenting the lines and strokes of the underdrawing. A method based on mathematical morphology, namely morphological reconstruction with viscosity, is used

Morphological grayscale reconstruction in image analysis: Applications and efficient algorithms

by Luc Vincent - IEEE Transactions on Image Processing , 1993
"... Morphological reconstruction is part of a set of image operators often referred to as geodesic. In the binary case, reconstruction simply extracts the connected components of a binary image I (the mask) which are \marked " by a (binary) image J contained in I. This transformation can be ext ..."
Abstract - Cited by 336 (3 self) - Add to MetaCart
Morphological reconstruction is part of a set of image operators often referred to as geodesic. In the binary case, reconstruction simply extracts the connected components of a binary image I (the mask) which are \marked " by a (binary) image J contained in I. This transformation can

Evaluation of Morphological Reconstruction, Fast Marching and a Novel Hybrid Segmentation Method

by Jianfeng Xu, Lixu Gu
"... Abstract. An evaluation of two traditional segmentation algorithms of Morphological Reconstruction and the Fast Marching method along with a novel hybrid segmentation approach is presented. After introducing the Fast Marching and the Morphological Reconstruction segmentation, we propose a novel hybr ..."
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Abstract. An evaluation of two traditional segmentation algorithms of Morphological Reconstruction and the Fast Marching method along with a novel hybrid segmentation approach is presented. After introducing the Fast Marching and the Morphological Reconstruction segmentation, we propose a novel

Efficient morphological reconstruction: A downhill filter

by Kevin Robinson, Paul F. Whelan - Pattern Recognition Letters
"... The downhill filter is an elegant and efficient single pass reconstruction algorithm which demonstrates fast and consistent performance. It operates through a controlled process of region growing by ordered aggregation of surface pixels onto an expanding shell. Ó 2004 Elsevier B.V. All rights reserv ..."
Abstract - Cited by 8 (1 self) - Add to MetaCart
The downhill filter is an elegant and efficient single pass reconstruction algorithm which demonstrates fast and consistent performance. It operates through a controlled process of region growing by ordered aggregation of surface pixels onto an expanding shell. Ó 2004 Elsevier B.V. All rights

Morphological Reconstruction of Semantic Layers in Map Images

by Alexey Podlasov, Eugene Ageenko, Pasi Fränti , 2006
"... Map images are composed of semantic layers depicted in arbitrary color. Color separation is often needed to divide the image into layers for storage and processing. Separation can result in severe artifacts because of the overlapping of the layers. In this work, we introduce a technique to restore t ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
the original semantic layers after the color separation. The proposed restoration technique improves compression performance of the reconstructed layers in comparison to the corrupted ones when compressed by lossless algorithms such as International Communication Unit (ITU) Group 4 (TIFF G4), Portable Network

Medical Image Segmentation using Modified Morphological Reconstruction

by A. Nithya
"... The objective of this research is to improve the accuracy of object segmentation in medical images by constructing an object segmentation algorithm. Image segmentation is a crucial step in the field of image processing and pattern recognition. Segmentation allows the identification of structures in ..."
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in an image which can be utilized for further processing. Both region-based and object-based segmentation are utilized in a robust and principled manner. Gradient based MultiScalE Graylevel mOrphological recoNstructions (G-SEGON) is used for segmenting an image. SEGON roughly identifies the background
Results 1 - 10 of 1,800