TAILIEUCHUNG - The Essential Guide to Image Processing- P19

The Essential Guide to Image Processing- P19:We are in the middle of an exciting period of time in the field of image processing. Indeed, scarcely a week passes where we do not hear an announcement of some new technological breakthrough in the areas of digital computation and telecommunication. | Conclusions 549 a b FIGURE a In tracking a white blood cell the GVF vector diffusion fails to attract the active contour b successful detection is yielded by MGVF. Thus provides an external force that can guide an active contour to a moving object boundary. The capture range of GVF is increased using the motion gradient vector flow MGVF vector diffusion 51 . With MGVF a tracking algorithm can simply use the final position of the active contour from a previous video frame as the initial contour in the subsequent frame. For an example of tracking using MGVF see Fig. . CONCLUSIONS Anisotropic diffusion is an effective precursor to edge detection. The main benefit of anisotropic diffusion over isotropic diffusion and linear filtering is edge preservation. By properly specifying the diffusion PDE and the diffusion coefficient an image can be scaled denoised and simplified for boundary detection. For edge detection the most critical design step is specification of the diffusion coefficient. The variants of the diffusion coefficient involve tradeoffs between sensitivity to noise the ability to specify scale convergence issues and computational cost. The diverse implementations of the anisotropic diffusion PDE result in improved fidelity to the original image mean curvature motion and convergence to LOMO signals. As the diffusion PDE may be considered a descent on an energy surface the diffusion operation can be viewed in a variational framework. Recent variational solutions produce optimized edge maps and image segmentations in which certain edge-based features such as edge length curvature thickness and connectivity can be optimized. The computational cost of anisotropic diffusion may be reduced by using multiresolution solutions including the anisotropic diffusion pyramid and multigrid anisotropic diffusion. Application of edge detection to multispectral imagery and to radar ultrasound imagery is possible through techniques presented in the .

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