Multi-focus Image Fusion with Sparse Feature Based Pulse Coupled Neural Network
نویسندگان
چکیده
منابع مشابه
A Novel Pulse Coupled Neural Network Based Method for Multi-focus Image Fusion
Multi-focus image fusion means to fuse multiple source images with different focus settings into one image, so that the resulting image appears sharper. In order to extract the focused regions of the fused image efficiently, a novel pulse coupled neural network (PCNN) method for multi-focus image fusion is proposed. The registered source images are decomposed into principal components and spars...
متن کاملNSCT-Based Multimodal Medical Image Fusion With Sparse Representation and Pulse Coupled Neural Network
Multimodal medical image fusion plays a vital role in clinical diagnosis and treatment planning. In the image fusion methods based on nonsubsampled contourlet transform (NSCT) and pulse coupled neural network (PCNN), authors have used normalized coefficient value to motivate the PCNN-processing, which makes the fused image blurred, detail loss and decrease in contrast. In this paper, we present...
متن کاملMedical image fusion based on pulse coupled neural networks and multi-feature fuzzy clustering
Medical image fusion plays an important role in clinical applications such as image-guided surgery, image-guided radiotherapy, noninvasive diagnosis, and treatment planning. In order to retain useful information and get more reliable results, a novel medical image fusion algorithm based on pulse coupled neural networks (PCNN) and multi-feature fuzzy clustering is proposed, which makes use of th...
متن کاملMulti-focus Image Fusion Based on Sparse Features
In order to effectively extract the focused regions from the source images and inhibit the blocking artifacts of the fused image, a novel adaptive block-based image fusion scheme based on sparse features is proposed. The source images are decomposed into principal and sparse matrices by a newly developed robust principal component analysis (RPCA) decomposition. The problem of multi-focus image ...
متن کاملMedical Image Fusion based on Pulse Coupled Neural Network Combining with Compressive Sensing
Image fusion is an important branch of information fusion, widely used in various fields, especially in medical field. So increasing the quality and efficiency of medical image fusion has great significance. Combining the advantages of pulse coupled neural networks with Compressive Sensing; this paper puts forward a novel image fusion method in NSCT transform domain. First, NSCT transform is ap...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TELKOMNIKA (Telecommunication Computing Electronics and Control)
سال: 2014
ISSN: 2302-9293,1693-6930
DOI: 10.12928/telkomnika.v12i2.66