IMAGE-BASED INITIAL POSITION/ORIENTATION ADJUSTMENT SYSTEM BETWEEN REAL AND VIRTUAL LIVERS

While watching four colors, we operate a virtual liver in order to overlap its real liver. The green pixel means that a real liver exists along the depth (Z) direction, the red pixel means that a virtual liver exists along the depth (Z) direction, the yellow pixel means that they are overlapped in the XY plane, and the blue pixel means that surfaces of real and virtual livers coincident in the XYZ space. Furthermore, we compare a normal mouse and the Space Navigator (3D intuitive mouse with 6 degrees-of-freedom) for the above adjustment.

Optimally Determined Modified Bayer Color Array for Imagery

This paper introduced a problem of the modified Bayer pattern color filter array (CFA). A demosaicking method is also known as color interpolation, which is a digital camera process employed to restore a full-color imagery from an image with missing color information. In general, a CFA pair contains two green pixels and one red and blue pixel (RGGB). However, there exist alternatives such as RRGB or RGBB. In this paper, we study the effect of three different color arrays. Simulation results show that the obtained filters give good performance.

Efficient Color Configurations for Sensors

mageries are acquired by digital cameras using a single sensor covered with a color filter array (CFA). The most generally employed CFA pattern is Bayer CFA. Therefore in the acquired CFA imagery, each pixel includes only one of three colors: they are red, green, and blue. This CFA color interpolation methods reconstruct losing color information of the other two primary colors for every single pixel. In a single pair of Bayer CFA, there are two green pixels and one red pixel and one blue pixel. In this paper, we interchanged green pixel with other colors. The performance comparison is shown in Experimental results section.