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Shearlet was proposed in 2005. With flexible direction features and a multi-resolution structure which is similar to wavelet, the application of Shearlet in image processing has been developing. In this paper, based on Shearlets and PCNN, a new algorithm of image fusion is proposed. A shear matrix is used to decompose the source images into several directions. To each direction, we extract the gradient...
The detection and recognition of road-sign is an important part of achieving intelligent vehicle. In the system, we use the HSI space to detect the road-sign which has been proposed. After detection, we use a method which we proposed for segmentation to get all road-signs in the image. Then we use the ratio of the size of road-sign and the size of the rectangle which is minimal and contain the road-sign...
The proposed new fusion algorithm is based on the finite Ridgelet transform(FRIT) and PCA. FRIT could capture two and higher dimensional singularity is analyzed. FRIT is used to decompose the image into low and high frequency components. The PCA method is used to fuse the low frequency coefficients. And for the high frequency coefficients, the maximum-method and the region consistency check are adopted...
The proposed new fusion algorithm is based on the improved pulse coupled neural network (PCNN) model and the contrast of the image. Compared with the traditional algorithms where the linking strength of each neuron is the same and its value is chosen through experimentation, this algorithm uses the contrast of each pixel as its value, so that the linking strength of each pixel can be chosen adaptively...
A novel image fusion algorithm based on contourlet transform is introduced. Firstly, the problem that wavelet transform could not efficiently represent the singularity of linear/curve in image processing is analyzed. The principal of contourlet and its good performance in expressing the singularity of two or higher dimensional are studied. Secondly, the feasibility of image fusion using contourlet...
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