Road network data are an important part of many applications, e.g., intelligent transportation and urban planning. At present, most the approaches to road generation dominated by single sources including images, point cloud data, trajectories, etc., which may cause fragmentation information. This study proposes a novel strategy obtain vector networks combining images trajectory with postprocess...

Abstract. The simulation of the energy balance at scale a street become huge issue. accurate geometry area, detailed atmospheric measurements, and eco-physiological information are necessary to perform faithful simulations. In addition, thermal images showing surface temperatures also highly interest analyse between façades trees. this context, aim our project is contribute development methodol...

since mammography images are in low-contrast, applying enhancement techniques as a pre-processing step are wisely recommended in classification of the abnormal lesions into benign or malignant. a new kind of structural enhancement is proposed by morphological operator which introduces an optimal gaussian kernel primitive, the kernel parameters are optimized the use of genetic algorithm­­. we al...

Background: Due to intrinsic heterogeneity of cellular distribution and density within diffusion weighted images (DWI) of glioblastoma multiform (GBM) tumors, differentiation of active tumor and peri-tumoral edema regions within these tumors is challenging. The aim of this paper was to take advantage of the differences among heterogeneity of active tumor and edematous regions within the gliobla...

In this paper a new mathematical procedure is presented for combining different pieces of evidence which are represented in the interval form to reflect our knowledge about the truth of a hypothesis. Evidences may be correlated to each other (dependent evidences) or conflicting in supports (conflicting evidences). First, assuming independent evidences, we propose a methodology to construct comb...