Various algorithms for the automatic extraction of features from micrographs of forged INCONEL 718 (TM) will be presented in this paper this includes the extraction of an optimized boundary image, the elimination of s...
详细信息
ISBN:
(纸本)0769525210
Various algorithms for the automatic extraction of features from micrographs of forged INCONEL 718 (TM) will be presented in this paper this includes the extraction of an optimized boundary image, the elimination of scratches and parallel lines ("twins") and from subsequent evaluation and the detection of delta phase particles. Requested features are grain size, the amount and distribution of 5 phase with respect to grain boundaries and anisotropic effects.
the proceedings contain 76 papers. the topics discussed include: daylight colored optimal spectra for improved color discrimination;evaluating visibility of age spot and freckle based on simulated spectral reflectance...
ISBN:
(纸本)9783319079974
the proceedings contain 76 papers. the topics discussed include: daylight colored optimal spectra for improved color discrimination;evaluating visibility of age spot and freckle based on simulated spectral reflectance of skin;multiple color matches to estimate human color vision sensitivities;building a two-way hyperspectral imaging system with liquid crystal tunable filters;measurement and modeling of bidirectional characteristics of fluorescent objects;multispectral endoscopy to identify precancerous lesions in gastric mucosa;multichannel spectral image enhancement for visualizing diabetic retinopathy lesions;fundamental study on intraoperative quantification of gastrointestinal viability by transmission light intensity analysis;and improved spectral density measurement from estimated reflectance data with kernel ridge regression.
A basic task in protein analysis is to discover a set of sequence patterns that characterizes the function of a protein family. To address this task, we introduce a synthesized pattern representation called Aligned Pa...
详细信息
ISBN:
(纸本)9783642341236
A basic task in protein analysis is to discover a set of sequence patterns that characterizes the function of a protein family. To address this task, we introduce a synthesized pattern representation called Aligned pattern (AP) Cluster to discover potential functional segments in protein sequences. We apply our algorithm to identify and display the binding segments for the Cytochrome C. and Ubiquitin protein families. the resulting AP Clusters correspond to protein binding segments that surround the binding residues. When compared to the results from the protein annotation databases, PROSITE and pFam, ours are more efficient in computation and comprehensive in quality. the significance of the AP Cluster is that it is able to capture subtle variations of the binding segments in protein families. It thus could help to reduce time-consuming simulations and experimentation in the protein analysis.
the path-based distance skeleton is used to analyse the shape of a digital silhouette, perceived as the superposition of elongated regions. the skeleton is suitably decomposed and the resulting components are used to ...
详细信息
the purpose of our research is the elucidation of glycan recognitionpatterns. Glycans are composed of monosaccharides and have complex structures with branches due to the fact that monosaccharides have multiple poten...
详细信息
ISBN:
(纸本)9783642341236
the purpose of our research is the elucidation of glycan recognitionpatterns. Glycans are composed of monosaccharides and have complex structures with branches due to the fact that monosaccharides have multiple potential binding positions compared to amino acids. Each monosaccharide can potentially be bound by up to five other monosaccharides, compared to two for any amino acid. Glycans are often bound to proteins and lipids on the cell surface and play important roles in biological processes. Lectins in particular are proteins that recognize and bind to glycans. In general, lectins bind to the terminal monosaccharides of glycans on glycoconjugates. However, it is suggested that some lectins recognize not only terminal monosaccharides, but also internal monosaccharides, possibly influencing the binding affinity. Such analyses are difficult without novel bioinformatics techniques. thus, in order to better understand the glycan recognition mechanism of such biomolecules, we have implemented a novel algorithm for aligning glycan tree structures, which we provide as a web tool called MCAW (Multiple Carbohydrate Alignment with Weights). From our web tool, we have analyzed several different lectins, and our results could confirm the existence of well-known glycan motifs. Our work can now be used in several other analyses of glycan structures, such as in the development of glycan score matrices as well as in state model determination of probabilistic tree models. therefore, this work is a fundamental step in glycan pattern analysis to progress glycobiology research.
Typically, algorithms for generating stereo disparity maps have been developed to minimise the energy equation of a single image. this paper proposes a method for implementing cross validation in a belief propagation ...
详细信息
ISBN:
(纸本)0769525210
Typically, algorithms for generating stereo disparity maps have been developed to minimise the energy equation of a single image. this paper proposes a method for implementing cross validation in a belief propagation optimisation. When tested using the Middlebury online stereo evaluation, the cross validation improves upon the results of standard belief propagation. Furthermore, it has been shown that regions of homogeneous colour within the images can be used for enforcing the so-called "Segment Constraint". Developing from this, Segment Support is introduced to boost belief between pixels of the same image region and improve propagation into textureless regions.
We consider a parallel, rule-based approach for learning and recognition of pattern and objects in scenes. Classification rules for pat- tern fragments are learned with objects presented in isolation and are based on ...
详细信息
this paper proposes a method of correcting intensity of a color image, which is used for the texture of a 3D model, using a range intensity image. A range intensity image has an effective characteristic that it is obt...
详细信息
ISBN:
(纸本)0769525210
this paper proposes a method of correcting intensity of a color image, which is used for the texture of a 3D model, using a range intensity image. A range intensity image has an effective characteristic that it is obtained under controlled illumination. this enables correction of the intensity of the color image without estimating illumination for the color image. Experiments show the effectiveness of the proposed method and a 3D model with proper color information generated by the method.
In this contribution maximum likelihood (ML) based approaches are presented which track an a-priori known surface and texture in monocular video streams. In contrast to established tracking algorithms based on homogra...
详细信息
ISBN:
(纸本)0769525210
In this contribution maximum likelihood (ML) based approaches are presented which track an a-priori known surface and texture in monocular video streams. In contrast to established tracking algorithms based on homographies the surface is not modeled as planar or piecewise planar but as a collection of 3-D surface points and surface normals. thus, any free-form surface can be modeled. this paper introduces a novel description of the image Jacobian in terms of a reference Jacobian based on the image-constancy (IC) assumption in 3-D. Tracking withthis computationally efficient description is compared to the standard ML approach with respect to the region and speed of convergence.
the insufficient performance of statistical recognition of composite objects (images, speech signals) is explored in case of medium-sized database (thousands of classes). In contrast to heuristic approximate nearest-n...
详细信息
暂无评论