Results 71 to 80 of about 114 (95)
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A Palmprint Classification Method Based on Finite Ridgelet Transformation and SVM
2011A multi-scale palm print classification method based on FRIT (finite ridgelet transform) and SVM (support vector machine) was proposed. First, palm image with preprocessing was decomposed by using FRIT. As a result, ridgelet coefficients in different scales and various angels were obtained.
Wenjun Huai, Li Shang
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Forensic Science International, 2022
When a bullet is fired from a barrel, micro striation marks caused by the sliding motion of the bullet through the rifled barrel are one of the foremost factors in automated ballistic identification. This paper focuses on 3D topography images of land engraved areas (LEA) and proposes a bullet identification method incorporating the finite ridgelet ...
Jialing, Zhu +5 more
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When a bullet is fired from a barrel, micro striation marks caused by the sliding motion of the bullet through the rifled barrel are one of the foremost factors in automated ballistic identification. This paper focuses on 3D topography images of land engraved areas (LEA) and proposes a bullet identification method incorporating the finite ridgelet ...
Jialing, Zhu +5 more
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Texture Classification Using Finite Ridgelet Transform and Support Vector Machines
2006Based on energy distribution analysis of FRIT coefficients, a novel feature extraction method of low computation complexity in FRIT domain was proposed for texture classification in this paper. A 'one-against-one' multi-class SVM with RBF kernel was adopted as classifier.
Yunxia Liu, Yuhua Peng, Xinhong Zhou
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Hybrid video coding model of finite ridgelet transform and H.264/AVC
2009 Picture Coding Symposium, 2009We developed a new video coding model that combines block-based finite ridgelet transform with H.264/AVC. This model is based on H.264/AVC codec and a new video coding mode called the ridgelet mode is added to it in order to incorporate the directional transform feature. In the ridgelet mode, residuals of each block after intra or inter predictions are
Tomokazu Murakami, Masashi Takahashi
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2020 2nd International Conference on Image Processing and Machine Vision, 2020
In recent years, many script recognition methods have emerged since they were studied as a front-end technique of OCR. These methods generally have a pleasing effect on a particular script, but they are not suitable for all languages. In this paper, we utilize the block finite ridgelet transform(BFRT) and discrete curvelet transform(DCT) and propose a ...
Zheng-Jian Wu +4 more
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In recent years, many script recognition methods have emerged since they were studied as a front-end technique of OCR. These methods generally have a pleasing effect on a particular script, but they are not suitable for all languages. In this paper, we utilize the block finite ridgelet transform(BFRT) and discrete curvelet transform(DCT) and propose a ...
Zheng-Jian Wu +4 more
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Finite Ridgelet Transform Based Listless Block-Partitioning Image Coding Algorithm
2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2013In this paper, an image coding algorithm based on a rate-distortion optimized orthonormal finite ridge let transform (OFRIT) decomposition and on an improved listless block-partitioning coding scheme which quantizes each sub band separately is proposed.
Zhenghua Shu +4 more
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The Analysis for the New Individualized Features Derived from Finite Ridgelet Transform
2006 IEEE International Symposium on Industrial Electronics, 2006In the literature of speaker recognition, the short-term features obviously dominates in the description of the individualized information for the candidates whose conventional assumption is the nonstationarity in the block. This paper discards the popular ideas and produces such features as segment center decimation(SCD), differential segment center ...
Wang Jinfang, Ma Haitao, Wang Jinbao
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Linetype Structure Image Denoising Via Improved Finite Ridgelet Transform
2006 8th international Conference on Signal Processing, 2006This paper presents an improved finite ridgelet transform (IMFRIT) approach to linetype structure image denoising. The key element of this technique is an improvement of the finite Radon transform, whereby the transform is defined on non-square grid rather than on square one.
Lian-wei Lu, Peng-lang Shui
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An image coding method of shape adaptive orthonormal finite ridgelet transform
2014 7th International Congress on Image and Signal Processing, 2014We propose a shape-adaptive wavelet-based finite ridgelet coding method, which can efficiently code an arbitrarily shaped video object. Mechanism of SA-FRIT on the shape adaptive ridgelet transform are discussed, based on the mask images on video object shape adaptive ridgelet three level decomposition.
Zhenghua Shu, Liu Guodong, Xie Zhihua
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Algorithm based on the finite ridgelet transform for enhancing faint pavement cracks
Optical Engineering, 2008A novel image enhancement algorithm for faint pavement cracks is proposed, based on the finite ridgelet transform (FRIT). In high-resolution FRIT subbands, typical linear singularities of the image are represented by a few coefficients, while randomly located noisy singularities are unlikely to produce significant coefficients.
Gang Wang +3 more
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