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Journal articles on the topic 'Differential image foresting transform'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Falcao, A. X., and F. P. G. Bergo. "Interactive Volume Segmentation With Differential Image Foresting Transforms." IEEE Transactions on Medical Imaging 23, no. 9 (2004): 1100–1108. http://dx.doi.org/10.1109/tmi.2004.829335.

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Condori, Marcos A. T., Fábio A. M. Cappabianco, Alexandre X. Falcão, and Paulo A. V. Miranda. "An extension of the differential image foresting transform and its application to superpixel generation." Journal of Visual Communication and Image Representation 71 (August 2020): 102748. http://dx.doi.org/10.1016/j.jvcir.2019.102748.

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3

Miranda, Paulo A. V., and Lucy A. C. Mansilla. "Oriented Image Foresting Transform Segmentation by Seed Competition." IEEE Transactions on Image Processing 23, no. 1 (2014): 389–98. http://dx.doi.org/10.1109/tip.2013.2288867.

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4

Falcao, A. X., J. Stolfi, and R. de Alencar Lotufo. "The image foresting transform: theory, algorithms, and applications." IEEE Transactions on Pattern Analysis and Machine Intelligence 26, no. 1 (2004): 19–29. http://dx.doi.org/10.1109/tpami.2004.1261076.

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5

Falcão, A. X., L. da Fontoura Costa, and B. S. da Cunha. "Multiscale skeletons by image foresting transform and its application to neuromorphometry." Pattern Recognition 35, no. 7 (2002): 1571–82. http://dx.doi.org/10.1016/s0031-3203(01)00148-0.

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Minetto, R., T. V. Spina, A. X. Falcão, N. J. Leite, J. P. Papa, and J. Stolfi. "IFTrace: Video segmentation of deformable objects using the Image Foresting Transform." Computer Vision and Image Understanding 116, no. 2 (2012): 274–91. http://dx.doi.org/10.1016/j.cviu.2011.10.003.

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Falcão, A. X., L. da F. Costa, and B. S. da Cunha. "Erratum to multiscale skeletons by image foresting transform and its applications to neuromorphometry." Pattern Recognition 36, no. 12 (2003): 3013. http://dx.doi.org/10.1016/s0031-3203(03)00134-1.

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SPINA, THIAGO V., PAULO A. V. DE MIRANDA, and ALEXANDRE X. FALCÃO. "INTELLIGENT UNDERSTANDING OF USER INTERACTION IN IMAGE SEGMENTATION." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 02 (2012): 1265001. http://dx.doi.org/10.1142/s0218001412650016.

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We have developed interactive tools for graph-based segmentation of natural images, in which the user guides object delineation by drawing strokes (markers) inside and outside the object. A suitable arc-weight estimation is paramount to minimize user time and maximize segmentation accuracy in these tools. However, it depends on discriminative image properties for object and background. These properties can be obtained from some marker pixels, but their identification is a hard problem during delineation. Careless arc-weight re-estimation reduces user control and drops performance, while intera

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9

Leon, Leissi M. C., Krzysztof C. Ciesielski, and Paulo A. V. Miranda. "Efficient Hierarchical Multi-Object Segmentation in Layered Graphs." Mathematical Morphology - Theory and Applications 5, no. 1 (2021): 21–42. http://dx.doi.org/10.1515/mathm-2020-0108.

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Abstract We propose a novel efficient seed-based method for the multi-object segmentation of images based on graphs, named Hierarchical Layered Oriented Image Foresting Transform (HLOIFT). It uses a tree of the relations between the image objects, with each node in the tree representing an object. Each tree node may contain different individual high-level priors of its corresponding object and defines a weighted digraph, named as layer. The layer graphs are then integrated into a hierarchical graph, considering the hierarchical relations of inclusion and exclusion. A single energy optimization

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Larkin, Kieran G., and Peter A. Fletcher. "Isotropic scalar image visualization of vector differential image data using the inverse Riesz transform." Biomedical Optics Express 5, no. 3 (2014): 907. http://dx.doi.org/10.1364/boe.5.000907.

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Ungar, Abraham, and H. C. Murrell. "The differential transform and its application to an electrostatics image problem." Computers & Mathematics with Applications 11, no. 6 (1985): 565–72. http://dx.doi.org/10.1016/0898-1221(85)90038-0.

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Li, Qi Shen, and Jian Gong Chen. "PSF Estimation and Image Restoration for Motion Blurred Images." Advanced Materials Research 562-564 (August 2012): 2124–27. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.2124.

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Point spread function (PSF) estimation and image restoration algorithm are the hotspots In the research of motion blurred image restoration. In order to improve the efficacy of image restoration, an improved algorithm named quadric transforms (QT) method is proposed in this paper by analyzing the restoration process of motion blurred images. Firstly, Fourier transform and homomorphism transform are applied to the original motion blurred image, and then the Fourier transform and homomorphism transform are used again to the obtained spectrum image. Secondly, the motion blur direction is estimate

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13

Raja, S. P., and A. Suruliandi. "Evaluating Multiscale Transform Based Image Compression Using Encoding Techniques." International Journal of Image and Graphics 16, no. 04 (2016): 1650018. http://dx.doi.org/10.1142/s0219467816500182.

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Image compression is the emerging field to transmit the multimedia products like image, video and audio. Image compression is used to reduce the storage quantity as much as possible. The objective of this paper is to compare the multiscale transform based image compression encoding techniques. The multiscale transforms involved in this paper are wavelet transform, bandelet transform, curvelet transform, ridgelet transform and contourlet transform. Wavelet transform allows good localization both in time and frequency domain. Bandelet transform takes geometric regularity of the natural images to

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14

ZHANG, Lina, and Xiaolin LI. "Image decomposition and edge detection based on wavelet transform and partial differential equation." Journal of Computer Applications 33, no. 8 (2013): 2334–36. http://dx.doi.org/10.3724/sp.j.1087.2013.02334.

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15

Badman, Ethan R., Garth E. Patterson, J. Mitchell Wells, Robert E. Santini, and R. Graham Cooks. "Differential non-destructive image current detection in a fourier transform quadrupole ion trap." Journal of Mass Spectrometry 34, no. 8 (1999): 889–94. http://dx.doi.org/10.1002/(sici)1096-9888(199908)34:8<889::aid-jms848>3.0.co;2-c.

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Kaur, Manjit, and Vijay Kumar. "Colour image encryption technique using differential evolution in non-subsampled contourlet transform domain." IET Image Processing 12, no. 7 (2018): 1273–83. http://dx.doi.org/10.1049/iet-ipr.2017.1016.

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Zhang, Lixia, Guangping Zeng, and Jinjin Wei. "Adaptive Region-Segmentation Multi-Focus Image Fusion Based on Differential Evolution." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 03 (2019): 1954010. http://dx.doi.org/10.1142/s0218001419540107.

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An adaptive region-segmentation based multi-focus image fusion method is presented using a Laplacian pyramid transform which decomposes the pre-registered source images into approximate and detail coefficients. In order to avoid the disadvantage of fixed-size blocks, the adaptive differential evolution scheme is designed to compute the optimal-size block. Firstly, with approximate coefficients, the optimal-size blocks are iteratively calculated by an adaptive differential evolution algorithm. The initial decision diagram is then completed by comparing the regional sum-modified Laplacian energy

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18

SEKIGUCHI, HIDEKO. "PENROSE TRANSFORM FOR INDEFINITE GRASSMANN MANIFOLDS." International Journal of Mathematics 22, no. 01 (2011): 47–65. http://dx.doi.org/10.1142/s0129167x11006738.

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We construct the Radon–Penrose transform as an intertwining operator of the indefinite unitary group U(p,q), from the Dolbeault cohomology group on the indefinite Grassmann manifold consisting of positive k-planes to the space of holomorphic functions over the bounded symmetric domain. We prove that the Penrose transform is injective, and that its image is exactly the space of global holomorphic solutions to the system of partial differential equations of determinant type of size k + 1.

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19

Lee, Cheol. "Implementation of Wavelet Transform based Image Registration using Mask Coefficient Differential and Threshold Method for Multi-Image Sensor." Journal of the Institute of Electronics and Information Engineers 57, no. 11 (2020): 67–71. http://dx.doi.org/10.5573/ieie.2020.57.11.67.

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Liu, Chao, Jing Yang, Weinan Zhao, Yining Zhang, Jingyou Li, and Chunmiao Mu. "Face Image Publication Based on Differential Privacy." Wireless Communications and Mobile Computing 2021 (January 6, 2021): 1–20. http://dx.doi.org/10.1155/2021/6680701.

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As an information carrier, face images contain abundant sensitive information. Due to its natural weak privacy, direct publishing may divulge privacy. Anonymization Technology and Data Encryption Technology are limited by the background knowledge and attack means of attackers, which cannot completely content the needs of face image privacy protection. Therefore, this paper proposes a face image publishing SWP (sliding window publication) algorithm, which satisfies the differential privacy. Firstly, the SWP translates the image gray matrix into a one-dimensional ordered data stream by using ima

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21

Talbi, Hassiba, and Mohamed-Khireddine Kholladi. "DEPSO With DTCWT Algorithm for Multimodal Medical Image Fusion." International Journal of Applied Metaheuristic Computing 12, no. 4 (2021): 78–97. http://dx.doi.org/10.4018/ijamc.2021100105.

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In this paper, the authors propose an algorithm of hybrid particle swarm with differential evolution (DE) operator, termed DEPSO, with the help of a multi-resolution transform named dual tree complex wavelet transform (DTCWT) to solve the problem of multimodal medical image fusion. This hybridizing approach aims to combine algorithms in a judicious manner, where the resulting algorithm will contain the positive features of these different algorithms. This new algorithm decomposes the source images into high-frequency and low-frequency coefficients by the DTCWT, then adopts the absolute maximum

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22

Mr. Rahul Sharma. "Modified Golomb-Rice Algorithm for Color Image Compression." International Journal of New Practices in Management and Engineering 2, no. 01 (2013): 17–21. http://dx.doi.org/10.17762/ijnpme.v2i01.13.

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The memory required to store the color image is more. We have reduced the memory requirements using Golomb-rice algorithm. Golomb-rice algorithm consists of the following two steps. In Golomb-Rice algorithm the first step is to compress the image using discrete wavelet transform. By using DWT compression the 8 × 8 image is converted into m × n sub-windows and it is converted into raster file format for producing m × n-1 differential data. Encoding is done by using Golomb-Rice coding. After encoding, the process length, code word and size are calculated by using GR coding.In the second step dec

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23

Guo, Wen Sheng, Feng Chen, Zhao You Sun, and Xi Jun Wang. "A New Infrared Image Magnification and Enhancement Method Based on Wavelet Transform." Applied Mechanics and Materials 198-199 (September 2012): 238–43. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.238.

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The traditional image magnify method usually have some defects on details. This paper gives a new infrared image magnification and enhancement method which is based on wavelet reconstruction and gradation segment. In this method, first of all, make wavelet transform on the image, get the high-frequency coefficient. Apply the Newton differential algorithm enhance the high-frequency coefficient as the high-frequency part of the magnified image, treat the original image as the low-frequency part , make the wavelet reconstruction ,then get the magnified image. To enhance the magnified image, accor

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24

Alhumyani, Hesham. "Efficient Image Cipher Based on Baker Map in the Discrete Cosine Transform." Cybernetics and Information Technologies 20, no. 1 (2020): 68–81. http://dx.doi.org/10.2478/cait-2020-0005.

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AbstractThis paper presents an efficient image cipher based on applying the chaotic Baker Map (BM) in the Discrete Cosine Transform (DCT). The encryption module of the proposed DCT-based BM image cipher employs a DCT on the original plain-image then, the DCT coefficients of the plain-image are shuffled with the BM. Finally, the inverse DCT is applied to the shuffled plain-image DCT coefficients to obtain the final cipher-image. The decryption module of the proposed DCT-based BM image cipher employs a DCT on the input cipher-image then, the DCT coefficients of the cipher-image are inversely shu

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25

Zaharescu, Eugen. "Color Image Indexing Using Mathematical Morphology." Analele Universitatii "Ovidius" Constanta - Seria Matematica 22, no. 1 (2014): 281–88. http://dx.doi.org/10.2478/auom-2014-0024.

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AbstractA mathematical morphology based approach for color image indexing is explored in this paper. Morphological signatures are powerful descriptions of the image content in the framework of mathematical morphology. A morphological signature (either a pattern spectrum or a differential morphological profile) is defined as a series of morphological operations (namely openings and closings) considering a predefined pattern called structuring element. For image indexing it is considered a morphological feature extraction algorithm which includes more complex morphological operators: i.e. color

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26

Zhang, Chang Jiang, and Yan Zhou. "Adaptive Infrared Image Enhancement by Combining Differential Evolution with Stationary Wavelet Transformation." Applied Mechanics and Materials 58-60 (June 2011): 2273–78. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.2273.

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Considering noise and low contrast of infrared image，an efficient nonlinear adaptive enhancement algorithm，which is based on differential evolution (DE)algorithm and stationary wavelet transform (SWT)，is proposed. Evaluation function is constructed by combing information entropy，signal-noise-ratio with standard deviation of enhanced image. A nonlinear transformation function is designed to enhance the contrast of the infrared image. The optimal transformation parameters are determined by combing DE algorithm with the constructed evaluation function. The proposed algorithm can efficiently enhan

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27

Sharma, Pankaj, Kashif Khan, and Khalil Ahmad. "Image denoising using local contrast and adaptive mean in wavelet transform domain." International Journal of Wavelets, Multiresolution and Information Processing 12, no. 06 (2014): 1450038. http://dx.doi.org/10.1142/s0219691314500386.

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Images are often corrupted by noise due to the imperfection of image acquisition systems and transmission channels. Traditional algorithms perform image denoising in the pixel domain. However, the transform domain denoising methods have shown outstanding success over the last decades. There are many image denoising methods which are in existence over the last decades, originated from various disciplines such as probability theory, statistics, partial differential equations, linear and nonlinear filtering, spectral and multiresolution analysis due to the robustness of the systems. Recently, ima

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28

Koppu, Srinivas, and V. Madhu Viswanatham. "A Fast Enhanced Secure Image Chaotic Cryptosystem Based on Hybrid Chaotic Magic Transform." Modelling and Simulation in Engineering 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/7470204.

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An enhanced secure image chaotic cryptosystem has been proposed based on hybrid CMT-Lanczos algorithm. We have achieved fast encryption and decryption along with privacy of images. The pseudorandom generator has been used along with Lanczos algorithm to generate root characteristics and eigenvectors. Using hybrid CMT image, pixels are shuffled to accomplish excellent randomness. Compared with existing methods, the proposed method had more robustness to various attacks: brute-force attack, known cipher plaintext, chosen-plaintext, security key space, key sensitivity, correlation analysis and in

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29

Jacobs, B. A., and C. Harley. "Application of Nonlinear Time-Fractional Partial Differential Equations to Image Processing via Hybrid Laplace Transform Method." Journal of Mathematics 2018 (September 17, 2018): 1–9. http://dx.doi.org/10.1155/2018/8924547.

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This work considers a hybrid solution method for the time-fractional diffusion model with a cubic nonlinear source term in one and two dimensions. Both Dirichlet and Neumann boundary conditions are considered for each dimensional case. The hybrid method involves a Laplace transformation in the temporal domain which is numerically inverted, and Chebyshev collocation is employed in the spatial domain due to its increased accuracy over a standard finite-difference discretization. Due to the fractional-order derivative we are only able to compare the accuracy of this method with Mathematica’s NDSo

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30

Suresh, Gulivindala, and Chanamallu Srinivasa Rao. "Copy Move Forgery Detection Through Differential Excitation Component-Based Texture Features." International Journal of Digital Crime and Forensics 12, no. 3 (2020): 27–44. http://dx.doi.org/10.4018/ijdcf.2020070103.

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Copy-move forgery (CMF) is an established process to copy an image segment and pastes it within the same image to hide or duplicate a portion of the image. Several CMF detection techniques are available; however, better detection accuracy with low feature vector is always substantial. For this, differential excitation component (DEC) of Weber Law descriptor in combination with the gray level co-occurrence matrix (GLCM) approach of texture feature extraction for CMFD is proposed. GLCM Texture features are computed in four directions on DEC and this acts as a feature vector for support vector ma

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Yu, Jimin, Rumeng Zhai, Shangbo Zhou, and LiJian Tan. "Image Denoising Based on Adaptive Fractional Order with Improved PM Model." Mathematical Problems in Engineering 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/9620754.

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In order to improve the image quality, in this paper, we propose an improved PM model. In the proposed model, we introduce two novel diffusion coefficients and a residual error term and replace the integer differential operator with the fractional differential operator in the PM model. The diffusion coefficients can be used effectively for edge detection and noise removal. The residual error term can help to prevent image distortion. Fractional order differential operator has a good characteristic that it can enhance image texture information while removing image noise. Additionally, in the tw

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32

Mittal, Mamta, Ranjeeta Kaushik, Amit Verma, et al. "Image Watermarking in Curvelet Domain Using Edge Surface Blocks." Symmetry 12, no. 5 (2020): 822. http://dx.doi.org/10.3390/sym12050822.

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Digital image watermarking aims to protect the information in an image without significantly affecting visual quality. In this paper, a new image watermarking technique has been proposed that uses Gaussian filters and first-order partial differential matrix to extort the edge surface of a host image. This paper influence on the edge surface curvelet coefficients as human eyes are not equally sensitive to a smooth and an edged surface. To preserve the quality of the artwork and to increase the resistance against attacks, the author utilizes the edge surface area of an image, coarse levels of cu

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33

Liu, Chunsheng, and Chunping Ren. "Research on Coal-Rock Fracture Image Edge Detection Based on Tikhonov Regularization and Fractional Order Differential Operator." Journal of Electrical and Computer Engineering 2019 (May 2, 2019): 1–13. http://dx.doi.org/10.1155/2019/9594301.

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Aiming at the conventional image edge detection algorithm, the first-order differential edge detection method is easy to lose the image details and the second-order differential edge detection method is more sensitive to noise. To deal with the problem, the Tikhonov regularization method is adopted to reconstruct the input coal-rock infrared images, so as to reduce the noise interference, and then, the reconstructed image is transformed by gray level. Finally, we consider the frequency characteristics and long memory properties of fractional differential, the classical first-order Sobel and se

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34

Chang, Wen-Yang, and Chih-Ping Tsai. "Illumination characteristics and image stitching for automatic inspection of bicycle part." Assembly Automation 34, no. 4 (2014): 342–48. http://dx.doi.org/10.1108/aa-09-2013-076.

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Purpose – This study aims to investigate the spectral illumination characteristics and geometric features of bicycle parts and proposes an image stitching method for their automatic visual inspection. Design/methodology/approach – The unrealistic color casts of feature inspection is removed using white balance for global adjustment. The scale-invariant feature transforms (SIFT) is used to extract and detect the image features of image stitching. The Hough transform is used to detect the parameters of a circle for roundness of bicycle parts. Findings – Results showed that maximum errors of 0°,

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35

A. Yassin, Ali, Abdullah Mohammed Rashid, Abdulla J. Yassin, and Hamid Alasadi. "A novel image encryption scheme based on DCT transform and DNA sequence." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 3 (2021): 1455. http://dx.doi.org/10.11591/ijeecs.v21.i3.pp1455-1464.

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Recently, the concept of DNA has been invested in computing technology in different ways which linking information technology and biological sciences. There are several encryption algorithms based on DNA encoding that has been proposed, which leads to generating a new direction in image encryption. However, the DNA encryption scheme has drawbacks such as expensive experimental equipment, difficult operations, and hard to hold its biotechnology. Additionally, during careful cryptanalysis that applied to most of these image encryption schemes, we notice that DNA operators can only influence one

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36

Zhang, Yang. "Analysis and Recognition Method of Internet Image Public Opinion Based on Partial Differential Equation." Advances in Mathematical Physics 2021 (September 14, 2021): 1–10. http://dx.doi.org/10.1155/2021/9759199.

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This article comprehensively and systematically expounds the development trends and basic theory of partial differential methods, analyzes the characteristics of sampling multiscale transformation in detail, and deeply studies the network image denoising and network image restoration methods that perform partial differential diffusion in the pixel domain and the transform domain. An adaptive diffusion method of partial differential equations is proposed. Among them, the key parameters can be adaptively changed according to the curvature and gradient of the local geometric information of the ne

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37

Xu, Xinyu. "Application of Image Recognition Algorithm Based on Partial Differential Equation and Wavelet Transform in the Intelligent Linkage System of Government Urban Public Management." Advances in Mathematical Physics 2021 (September 12, 2021): 1–12. http://dx.doi.org/10.1155/2021/7030289.

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In the Internet age, social needs have become more diverse. The private sector has achieved great success in integrating resources to provide services to customers thanks to technological breakthroughs such as mobile Internet and big data, while the public sector has become even more dwarfed. The public sector urgently needs new theoretical support to integrate administrative resources more effectively, so as to provide the public with one-stop, holistic and seamless services as a whole. The “holistic governance” theory effectively responded to the abovementioned problems and gradually condens

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38

Li, Jia, Juan Chang, and Han Lin Qin. "Multiresolution Non-Local Mean Filter for Infrared Dim and Small Target Background Suppression." Applied Mechanics and Materials 135-136 (October 2011): 637–42. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.637.

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Structured clouds and ground building background suppression are difficult problems for dim and small target detection technique. In this paper, the dim and small target background suppression method based on combined curvelet transform with modified non-local means filter was presented to solve the problem. And local gradient statistics is introduced to boost ability of method which suppresses false by background structure. The innovation was that the curvelet transform was adopted to decompose the input infrared image, which extracts multi-scale and directional detail features of the image.

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Sun, X., J. Zhang, and L. Zhai. "Multipolarimetric SAR image change detection based on multiscale feature-level fusion." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W4 (June 26, 2015): 155–58. http://dx.doi.org/10.5194/isprsarchives-xl-7-w4-155-2015.

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Many methodologies of change detection have been discussed in the literature, but most of them are tested on only optical images or traditional synthetic-aperture radar (SAR) images. Few studies have investigated multipolarimetric SAR image change detection. In this study, we presented a type of multipolarimetric SAR image change detection approach based on nonsubsampled contourlet transform and multiscale feature-level fusion techniques. In this approach, Instead of denoising an image in advance, the nonsubsampled contourlet transform multiscale decomposition was used to reduce the effect of

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40

Wang, Haihua, Xinxin Zhang, and Shuli Mei. "Shannon-Cosine Wavelet Precise Integration Method for Locust Slice Image Mixed Denoising." Mathematical Problems in Engineering 2020 (July 14, 2020): 1–17. http://dx.doi.org/10.1155/2020/4989735.

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A novel denoising method for removing mixed noise from locust slice images is proposed by means of Shannon-cosine wavelet and the nonlinear variational model for the image processing. This method includes two parts that are the sparse representation of the slice images and the novel numerical algorithm for solving the variation model on image denoising based on the sparse representation. In the first part, a parametric Shannon-cosine wavelet function is introduced to construct the multiscale wavelet transform matrix, which is applied to represent the slice images sparsely by adjusting the para

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Mižáková, Jana, Stella Hrehová, and Alexander Hošovský. "Simulation model of Heat Transfer through the Wall." International Journal of Applied Mathematics and Informatics 15 (March 19, 2021): 1–6. http://dx.doi.org/10.46300/91014.2021.15.1.

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This paper deals with describing of mathematical model of heat transfer through the wall and simulations, which were obtained by MATLAB Simulink. Model is a part of complex model of heating system. During our model design research we solve partial differential equation system and problem with inverse Laplace transform occurs, because of function of real argument from image function of complex argument is not define.

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42

Salhi, Khalid, El Miloud Jaara, and Mohammed Talibi Alaoui. "Texture Image Segmentation Approach Based on Neural Networks." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 6, no. 1 (2018): 19. http://dx.doi.org/10.3991/ijes.v6i1.8166.

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One of the major problems in texture analysis is segmenting images into different regions based on textures. In this paper, we present a new approach of texture segmentation, which is based on both Kohonen maps and mathematical morphology, using three different texture features, namely, Haralick features based on gray-level co-occurrence matrix (GLCM), fractal features based on fractal dimension using the differential box counting method, and wavelet features based on wavelet transform. These features are used to train the Kohonen Network, which will be represented by the underlying probabilit

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43

NUNES, JEAN-CLAUDE, and ÉRIC DELÉCHELLE. "EMPIRICAL MODE DECOMPOSITION: APPLICATIONS ON SIGNAL AND IMAGE PROCESSING." Advances in Adaptive Data Analysis 01, no. 01 (2009): 125–75. http://dx.doi.org/10.1142/s1793536909000059.

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In this paper, we propose some recent works on data analysis and synthesis based on Empirical Mode Decomposition (EMD). Firstly, a direct 2D extension of original Huang EMD algorithm with application to texture analysis, and fractional Brownian motion synthesis. Secondly, an analytical version of EMD based on PDE in 1D-space is presented. We proposed an extension in 2D-case of the so-called "sifting process" used in the original Huang's EMD. The 2D-sifting process is performed in two steps: extrema detection (by neighboring window or morphological operators) and surface interpolation by spline

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Oliveira, Fernanda D. V. R., Hugo L. Haas, José Gabriel R. C. Gomes, and Antonio Petraglia. "CMOS Image Sensor Featuring Current-Mode Focal-Plane Image Compression." Journal of Integrated Circuits and Systems 8, no. 1 (2013): 14–21. http://dx.doi.org/10.29292/jics.v8i1.369.

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The interest in focal-plane processing techniques, by which image processing is carried out at the pixel level, has increased since the advent of active pixel sensors in the middle 90’s. By sharing processing circuitry by a group of neighboring pixels such techniques enable high-speed imaging operation and massive parallel computation. Focal-plane image compression is particularly interesting, because it allows for further reduction in data rates. The proposed approach also benefits from processing currents rather than voltages, which not only suits current-mode APS imagers, but also enables t

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Baruzdin, S. A. "RESOLVING POWER OF MODIFIED IMAGE RECONSTRUCTION METHOD IN SPIN DENSITY PROJECTIONS IN MAGNETIC RESONANCE IMAGING." Journal of the Russian Universities. Radioelectronics, no. 1 (February 28, 2019): 75–83. http://dx.doi.org/10.32603/1993-8985-2019-22-1-75-83.

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The well-known method of image reconstruction by projections in magnetic resonance imaging uses spin echo excited by two sinc pulses. The further processing involves forming of the spin echo signal two quadrature components converting them into a digital format and the subsequent Fourier transform. The proposed modified method is based on the second sinc radio pulse substitution for the linear FM pulse. In this case, the mentioned projections are formed by amplitude detection of the spin echo envelope, which significantly simplifies the processing procedure. The aim of the research is to analy

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Chen, Bo, Jin-Lin Cai, Wen-Sheng Chen, and Yan Li. "A Multiplicative Noise Removal Approach Based on Partial Differential Equation Model." Mathematical Problems in Engineering 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/242043.

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Multiplicative noise, also known as speckle noise, is signal dependent and difficult to remove. Based on a fourth-order PDE model, this paper proposes a novel approach to remove the multiplicative noise on images. In practice, Fourier transform and logarithm strategy are utilized on the noisy image to convert the convolutional noise into additive noise, so that the noise can be removed by using the traditional additive noise removal algorithm in frequency domain. For noise removal, a new fourth-order PDE model is developed, which avoids the blocky effects produced by second-order PDE model and

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Liu, Yaning, Lin Han, Hexiang Wang, and Bo Yin. "Classification of papillary thyroid carcinoma histological images based on deep learning." Journal of Intelligent & Fuzzy Systems 40, no. 6 (2021): 12011–21. http://dx.doi.org/10.3233/jifs-210100.

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Papillary thyroid carcinoma (PTC) is a common carcinoma in thyroid. As many benign thyroid nodules have the papillary structure which could easily be confused with PTC in morphology. Thus, pathologists have to take a lot of time on differential diagnosis of PTC besides personal diagnostic experience and there is no doubt that it is subjective and difficult to obtain consistency among observers. To address this issue, we applied deep learning to the differential diagnosis of PTC and proposed a histological image classification method for PTC based on the Inception Residual convolutional neural

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Gokul Rajan, V., and S. Vijayalakshmi. "A New Approach for Sclera Segmentation Using Integro Differential Operator." Journal of Computational and Theoretical Nanoscience 17, no. 5 (2020): 2330–35. http://dx.doi.org/10.1166/jctn.2020.8891.

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Sclera vessel patterns are one of the most reliable biometrics against performance, accessibility and availability. Sclera segmentation is the important phase of sclera recognition system as its performance depends on the segmentation accuracy. The big challenge in segmentation is nonlinearity of iris, sclera and upper and lower eyelid. This paper proposes a new approach to isolate the sclera accurately from the unconditionally acquired eye image. Hough transform and Integro differential operator (IDO) are popularly used to confine the iris and sclera boundary. Both of these two localizations

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Ólafsson, Gestur, and Henrik Schlichtkrull. "Fourier transforms of spherical distributions on compact symmetric spaces." MATHEMATICA SCANDINAVICA 109, no. 1 (2011): 93. http://dx.doi.org/10.7146/math.scand.a-15179.

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In our previous articles [27] and [28] we studied Fourier series on a symmetric space $M=U/K$ of the compact type. In particular, we proved a Paley-Wiener type theorem for the smooth functions on $M$, which have sufficiently small support and are $K$-invariant, respectively $K$-finite. In this article we extend these results to $K$-invariant distributions on $M$. We show that the Fourier transform of a distribution, which is supported in a sufficiently small ball around the base point, extends to a holomorphic function of exponential type. We describe the image of the Fourier transform in the

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Romero-Arellano, Andrés, Ernesto Moya-Albor, Jorge Brieva, et al. "Image Encryption and Decryption System through a Hybrid Approach Using the Jigsaw Transform and Langton’s Ant Applied to Retinal Fundus Images." Axioms 10, no. 3 (2021): 215. http://dx.doi.org/10.3390/axioms10030215.

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In this work, a new medical image encryption/decryption algorithm was proposed. It is based on three main parts: the Jigsaw transform, Langton’s ant, and a novel way to add deterministic noise. The Jigsaw transform was used to hide visual information effectively, whereas Langton’s ant and the deterministic noise algorithm give a reliable and secure approach. As a case study, the proposal was applied to high-resolution retinal fundus images, where a zero mean square error was obtained between the original and decrypted image. The method performance has been proven through several testing method

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