In this paper, we present a method based on mathematical morphology for digital-hologram synthesis. The principles and operations of mathematical morphology are used for morphologic thansformation of images and for generation of digital image sequence. The sequence of digital images can be used to create kinetic and beatuful hologram which has a good prospect for application in laser anti-counterfeiting field.
Video segmentation plays an important role for efficient storage and transmission in visual communication. In this paper, we introduce a novel video segmentation system using point tracking and contour formation techniques. Inspired by the results from the study of the human visual system, we intend to solve the video segmentation problem into three separate phases: user-assisted feature points selection, feature points' automatic tracking, and contour formation. This splitting relieves the computer of ill-posed automatic segmentation problems, and allows a higher level of flexibility of the method. First, the precise feature points can be found using a combination of user assistance and an eigenvalue-based adjustment. Second, the feature points in the remaining frames are obtained using motion estimation and point refinement. At last, contour formation is used to extract the object, and plus a point insertion process to provide the feature points for next frame's tracking.
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