A Novel Image Transform Based on Potential–field Source Reverse for Image Analysis
نویسندگان
چکیده
A novel source-reverse transform for digital images is presented for image structure representation and analysis based on an electro-static analogy. In this transform, the image is taken as the potential field and the virtual source is reversed imitating the Gauss’s law. Region border detection is implemented based on the virtual field source representation of image structure. Moreover, the energy concentration property of this transform is investigated for promising application of lossy image compression. Experimental results prove that the source-reverse transform can obtain efficient representation of image structure, and has promising application in image processing tasks. Key-Words: Source-reverse transform, electro-static field, region border detection, lossy image compression
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تاریخ انتشار 2009