Generalized non-linear wavelets and their application to medical image processing

Generalized non-linear wavelets are proposed by using weight coefficients in the analysis/synthesis operations. The proposed wavelets can generate various types of mother wavelets by adjusting the weight coefficients, in the setting of non-linear signal processing. Through experiment using real images extracted from standard image database (SIBDA), image analysis results (sub-band decomposition) are represented by the proposed method. Furthermore, the proposed method is applied to preprocessing of the chest lung X-ray images diagnosis based on standard digital image database created by Japanese society of radiological technology, and results of suspicious regions detection are shown.