Defining belief functions using mathematical morphology – Application to image fusion under imprecision

We address in this paper the problem of defining belief functions, typically for multi-source classification applications in image processing. We propose to use mathematical morphology for introducing imprecision in the mass and belief functions while estimating disjunctions of hypotheses. The basic idea relies on the similarity between some properties of morphological operators and properties of belief functions. The framework of mathematical morphology guarantees that the derived functions have all required properties. We illustrate the proposed approach on synthetic and real images.     

Helical spin structure in manganese silicide MnSi

At 4.2 K, MnSi has a helical spin structure with a period of 180 Å in the [111] direction. In magnetic fields greater than 4 kOe, a conical spin structure, whose screw axis coincides with the field direction and whose period is independent of the applied field is realized.     

Semi-metallic behaviour of HMTSF-TCNQ at low temperatures under pressure

Some results of electrical resistivity (?) and transverse magnetoresistance measurements on single crystals of the charge transfer compound HMTSF-TCNQ under pressure are reported. There is evidence that d?/dT remains positive over the whole temperature range under pressure, and that a T² law is obeyed from 0.19 to 2 K at 14 kbar. Together with a relatively large magnetoresistance this is an indication of semi-metallic behaviour.