Titlebook: Computer Analysis of Images and Patterns; 14th International C Pedro Real,Daniel Diaz-Pernil,Walter Kropatsch Conference proceedings 2011 S

纪念

Robustness and Modularity of 2-Dimensional Size Functions – An Experimental Studyis modular and robust with respect to noise, non-rigid and non-metric-preserving shape transformations. The proposed framework allows us to improve the ability of 2-dimensional size functions in discriminating between shapes.

bacteria

Statistical Shape Model of Legendre Moments with Active Contour Evolution for Shape Detection and Se space and subsequent constrained optimization of the evolved shape in the reduced shape feature space. Experimental results are also presented to show that the proposed method has very robust performances for images with a large amount of noise.

投射

欢乐中国

Semantic Segmentation of Microscopic Images Using a Morphological Hierarchying a closing morphological hierarchy and its associated binary hierarchy. The outer border is determined by the epithelial nuclei, overlapped by the maximal isoline of the inner boundary. The evaluation of the proposed method is made by computing the percentage of the mis-segmented nuclei against epithelial nuclei per crypt.

Shuttle

0302-9743 ceedings of the International Conference on Computer Analysis of Images and Patterns, CAIP 2011,which took place in Seville, Spain, August 29-31, 2011. The 138 papers presented together with 2 invited talks were carefully reviewed and selected from 286 submissions. The papers are organized in topica

拒绝

Zines – Rebellen der Archivierungwe extract features related to the spatio-temporal behavior of the trajectory, and to the user movement, and analyze the shopping sequences using a Hidden Markov Model (HMM). First results show that it is possible to discriminate between buying and non-buying behavior with an accuracy of 74%.

Nausea

Pirjo Kristiina Virtanen,Francisco Apurinãlistic atlas is non-rigidly aligning with the target image, where the probabilistic atlas is previously aligned to the target image with our affine registration. Finally, we adopt a graph cut - Bayesian framework for implementing the atlas-based segmentation.

persistence

宽容