the objective of semantic segmentation in microscopic images is to extract the cellular, nuclear or tissue components. this problem is challenging due to the large variations of features of these components (size, sha...
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ISBN:
(纸本)9783642248542
the objective of semantic segmentation in microscopic images is to extract the cellular, nuclear or tissue components. this problem is challenging due to the large variations of features of these components (size, shape, orientation or texture). In this paper we present an automatic technique to robustly delimit the epithelial area (crypts) in microscopic images taken from colon tissues sections marked with cytokeratin-8. the epithelial area is highlighted using the anisotropic diffusion pyramid and segmented using MSER+. the crypts separation and lumen detection is performed by imposing topological constraints about the epithelial layer distribution within the tissue and the round-like shape of the crypt. the evaluation of the proposed method is made by comparing the results with ground-truth segmentations.
Graph grammars provide a useful formalism for describing structural manipulations of multi-dimensional data. We briefly review theoretical aspects of graph grammars, particularly of the embedding problem, and then sum...
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A new method for videoconferencing using the concept of spatially varying sensing is introduced. Various techniques are discussed for combining information obtained from multiple points-of-interest (foveae) in an imag...
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We have compared and improved several implementations of the Wiener filter to remove noise effects from Scanning Tunneling Microscope images. We have found that the implementation of Weisman et al. [6], using the nois...
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A system for the classification of real 3-D objects is presented. Ten objects are presented in arbitrary orientation (and position, within limits). the perception of an object is achieved by the use of multiple stereo...
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the proceedings contain 37 papers. the topics discussed include: bipartite graph matching for computing the edit distance of graphs;matching of tree structures for registration of medical images;graph-based methods fo...
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ISBN:
(纸本)9783540729020
the proceedings contain 37 papers. the topics discussed include: bipartite graph matching for computing the edit distance of graphs;matching of tree structures for registration of medical images;graph-based methods for retinal mosaicing and vascular characterization;graph based shapes representation and recognition;a continuous-based approach for partial clique enumeration;a bound for non-subgraph isomorphism;a correspondence measure for graph matching using the discrete quantum walk;a quadratic programming approach to the graph edit distance problem;image classification using marginalized kernels for graphs;comparing sets of 3D digital shapes through topological structures;hierarchy construction schemes within the scale set framework;local reasoning in fuzzy attribute graphs for optimizing sequential segmentation;and graph-based perceptual segmentation of stereo vision 3D images at multiple abstraction levels.
Facial occlusions such as eyeglasses, hairs and beards decrease the performance of face recognition algorithms. To improve the performance of face recognition algorithms, this paper proposes a novel framework of face ...
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ISBN:
(纸本)9781479903108
Facial occlusions such as eyeglasses, hairs and beards decrease the performance of face recognition algorithms. To improve the performance of face recognition algorithms, this paper proposes a novel framework of face recognition combined withthe occluded-region detection method. In this paper, we detect occluded regions using Fast-Weighted Principal Component Analysis (FW- PCA) and use the occluded regions as weights for matching face images. To demonstrate the effectiveness of the proposed framework, we use two face recognition algorithms: Local Binary patterns (LBP) and Phase-Only Correlation (POC). Experimental evaluation using public face image databases indicates performance improvement of the face recognition algorithms for face images with natural and artificial occlusions.
the proceedings contain 27 papers. the special focus in this conference is on Artificial Neural Networks for patternrecognition. the topics include: Large margin distribution learning;a decorrelation approach for pru...
ISBN:
(纸本)9783319116556
the proceedings contain 27 papers. the special focus in this conference is on Artificial Neural Networks for patternrecognition. the topics include: Large margin distribution learning;a decorrelation approach for pruning of multilayer perceptron networks;unsupervised active learning of CRF model for cross-lingual named entity recognition;incremental feature selection by block addition and block deletion using least squares SVRs;low-dimensional data representation in data analysis;analyzing dynamic ensemble selection techniques using dissimilarity analysis;hidden Markov models based on generalized Dirichlet mixtures for proportional data modeling;majority-class aware support vector domain oversampling for imbalanced classification problems;forward and backward forecasting ensembles for the estimation of time series missing data;dynamic weighted fusion of adaptive classifier ensembles based on changing data streams;combining bipartite graph matching and beam search for graph edit distance approximation;computing upper and lower bounds of graph edit distance in cubic time;a new multi-class fuzzy support vector machine algorithm;a reinforcement learning algorithm to train a Tetris playing agent;automatic bridge crack detection - a texture analysis-based approach;part-based high accuracy recognition of serial numbers in bank notes;comparative study of feature selection for white blood cell differential counts in low resolution images;end-shape recognition for Arabic handwritten text segmentation;intelligent ensemble systems for modeling NASDAQ microstructure;face recognition based on discriminative dictionary with multilevel feature fusion;investigating of preprocessing techniques and novel features in recognition of handwritten Arabic characters and a time series classification approach for motion analysis using ensembles in ubiquitous healthcare systems.
New techniques are presented for determining the periodicity and scale of texture;this information is used to define an adaptive transform based an edge cooccurrence matrices for segmenting textured regions. the textu...
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