Because the classic intersecting cortical model (ICM) and the traditional image de-noising algorithm exist the deficiencies-the image collection, transmission and conversion are often subjected to impulse noise interference, thus affecting the quality of the image, therefore we improved the framework structure and related parameters of the ICM and proposed the adaptive image de-noising algorith...

Finding a way to effectively suppress speckle in SAR images has great significance. K-means singular value decomposition (K-SVD) has shown great potential in SAR image de-noising. However, the traditional K-SVD is sensitive to the position and phase of the characteristics in the image, and the de-noised image by K-SVD has lost some detailed information of the original image. In this paper, we p...

Dans un service de 36 lits de medicine in­fantile une periode de 18 mois, 33 enfants furent hospitalises pour une affection hematologique maligne: 21 cas de leucemie aigi.ie, 1 cas de leu­cemie myeloide chronique, 2 cas de lymphomes malins, 9 cas de Hodgkin aux differents stades evolutifs.  Aucune complication neurologique ne fut observe chez les malades attaints de Hodgkin. Ia moitie des enfa...

Eduardo Pérez-Pellitero1, 2 [email protected] Jordi Salvador1 [email protected] Javier Ruiz-Hidalgo3 [email protected] Bodo Rosenhahn2 [email protected] 1 Image Processing Lab Technicolor R&I Hannover, Germany 2 Institute for Information Processing Leibniz Universität Hannover Hannover, Germany 3 Image Processing Group Universitat Politècnica de Catalu...

Various approached have been introduced to extract as much as information form seismic image for any specific reservoir or geological study. Modeling of faults and fractures are among the most attracted objects for interpretation in geological study on seismic images that several strategies have been presented for this specific purpose. In this study, we have presented a modified approach of ap...

objective: in vitro production of a definitive endoderm (de) is an important issue in stem cell-related differentiation studies and it can assist with the production of more efficient endoderm derivatives for therapeutic applications. despite tremendous progress in de differentiation of human embryonic stem cells (hescs), researchers have yet to discover universal, efficient and cost-effective ...

Currently large scale multimodal image databases have become widely available, for example via photo sharing sites where images come along with textual descriptions and keyword annotations. Most existing work on image retrieval and image auto-annotation has considered uni-modal techniques, either focusing on query-by-example systems or query-by-text systems for image retrieval, and mono modal c...

Content-Based Image Retrieval is important for two reasons. First, the oft-cited growth of image archives in many fields, and the rapid expansion of the Web, mean that successful image retrieval systems are fast becoming a necessity if the mass of accumulated data is to be useful. Second, database retrieval provides a framework within which the important questions of machine vision are brought ...