Color management for scanner is one of the key techniques in the color reproduction in information optics. A new digital
Camera color management model is presented based on analyzing its rendering principle. First, standard color target is
taken for experimental sample and substitutes color blocks in color shade district for complete color space to solve the
difficulties of experimental color blocks selecting. Second, Immune Genetic Algorithm is presented to correct BP neural
network to speed up the convergence of the model. Finally the experimental results show that the model can improve
scanner color management accuracy and can be used in digital Camera color management practically.
Considering the fuzzy characteristics of medical data field and requests of practicability, the paper presents a novel cell projection algorithm based on edge transition region of medical 3D data field. First, 3D data field is pretreated to a unitary and integral field, and the paper extends the method of segmenting 2D image and makes it can be used to extract edge transition region of 3D data field. Then, the edge transition region and the non-edge transition region are projected separately. Last, the realization and experiment results show that the algorithm can improve image quality of edge transition region and guarantee rendering speed effectively.