A rigid image registration based on the nonsubsampled contourlet transform and genetic algorithms. [PDF]
Sensors (Basel), 2010 Image registration is a fundamental task used in image processing to match two or more images taken at different times, from different sensors or from different viewpoints.
Meskine F, Chikr El Mezouar M, Taleb N.
europepmc +7 more sources
A Novel Approach for Image Enhancement via Nonsubsampled Contourlet Transform
Journal of Intelligent Systems, 2014 An improved image enhancement approach via nonsubsampled contourlet transform (NSCT) is proposed in this article. We constructed a geometric image transform by combining nonsubsampled directional filter banks and a nonlinear mapping function.
Tan Yunlan +4 more
doaj +3 more sources
Multi-Focus Image Fusion for Full-Field Optical Angiography. [PDF]
Entropy (Basel), 2023 Full-field optical angiography (FFOA) has considerable potential for clinical applications in the prevention and diagnosis of various diseases. However, owing to the limited depth of focus attainable using optical lenses, only information about blood ...
Jie Y, Li X, Wang M, Tan H.
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Image Haze Removal Algorithm Based on Nonsubsampled Contourlet Transform [PDF]
IEEE Access, 2021 In order to avoid the noise diffusion and amplification caused by traditional dehazing algorithms, a single image haze removal algorithm based on nonsubsampled contourlet transform (HRNSCT) is proposed. The HRNSCT removes haze only from the low-frequency
Bowen Zhang, Manli Wang, Xiaobo Shen
doaj +3 more sources
Multi-scale fusion for RGB-D indoor semantic segmentation. [PDF]
Sci Rep, 2022 In computer vision, convolution and pooling operations tend to lose high-frequency information, and the contour details will also disappear with the deepening of the network, especially in image semantic segmentation.
Jiang S, Xu Y, Li D, Fan R.
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Multiscale Geometric Analysis Fusion-Based Unsupervised Change Detection in Remote Sensing Images via FLICM Model. [PDF]
Entropy (Basel), 2022 Remote sensing image change detection is widely used in land use and natural disaster detection. In order to improve the accuracy of change detection, a robust change detection method based on nonsubsampled contourlet transform (NSCT) fusion and fuzzy ...
Li L, Ma H, Jia Z.
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CT and MR image fusion scheme in nonsubsampled contourlet transform domain. [PDF]
J Digit Imaging, 2014 Fusion of CT and MR images allows simultaneous visualization of details of bony anatomy provided by CT image and details of soft tissue anatomy provided by MR image. This helps the radiologist for the precise diagnosis of disease and for more effective interventional treatment procedures. This paper aims at designing an effective CT and MR image fusion
Ganasala P, Kumar V.
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A dual nonsubsampled contourlet network for synthesis images and infrared thermal images denoising. [PDF]
PeerJ Comput SciThe most direct way to find the electrical switchgear fault is to use infrared thermal imaging technology for temperature measurement. However, infrared thermal imaging images are usually polluted by noise, and there are problems such as low contrast and
Xu Z +5 more
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Computational learning of features for automated colonic polyp classification. [PDF]
Sci Rep, 2021 Shape, texture, and color are critical features for assessing the degree of dysplasia in colonic polyps. A comprehensive analysis of these features is presented in this paper. Shape features are extracted using generic Fourier descriptor.
Bora K +4 more
europepmc +2 more sources
Gender Recognition Using Nonsubsampled Contourlet Transform and WLD Descriptor [PDF]
Lecture Notes in Computer Science, 2013 Gender recognition using facial images plays an important role in biometric technology. Multiscale texture descriptors perform better in gender recognition because they encode the multiscale facial microstructures in a better way. We present a gender recognition system that uses SVM, two-stage feature selection and multiscale texture feature based on ...
Anwar Mírzá +2 more
exaly +2 more sources