Image Processing Toolbox

Matlab IPT: Image Processing Toolbox™ provides a comprehensive set of reference-standard algorithms, functions, and apps for image processing, analysis, visualization, and algorithm development. You can perform image analysis, image segmentation, image enhancement, noise reduction, geometric transformations, and image registration. Many toolbox functions support multicore processors, GPUs, and C-code generation. Image Processing Toolbox supports a diverse set of image types, including high dynamic range, gigapixel resolution, embedded ICC profile, and tomographic. Visualization functions and apps let you explore images and videos, examine a region of pixels, adjust color and contrast, create contours or histograms, and manipulate regions of interest (ROIs). The toolbox supports workflows for processing, displaying, and navigating large images.

References in zbMATH (referenced in 35 articles )

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  1. Browning, Alexander P.; Maclaren, Oliver J.; Buenzli, Pascal R.; Lanaro, Matthew; Allenby, Mark C.; Woodruff, Maria A.; Simpson, Matthew J.: Model-based data analysis of tissue growth in thin 3D printed scaffolds (2021)
  2. Douglas Kurrant, Nasim Abdollahi, Muhammad Omer, Pedram Mojabi, Elise Feara, Joe LoVetri: MWSegEval - An image analysis toolbox for microwave breast images (2021) not zbMATH
  3. Osman, Hossam; Graham, Gavin H.; Moncorge, Arthur; Jacquemyn, Carl; Jackson, Matthew D.: Is cell-to-cell scale variability necessary in reservoir models? (2021)
  4. Thomas Dowrick, James Avery, Mayo Faulkner, David Holder, Kirill Aristovich: EIT-MESHER - Segmented FEM Mesh Generation and Refinement (2020) not zbMATH
  5. Browning, Alexander P.; Haridas, Parvathi; Simpson, Matthew J.: A Bayesian sequential learning framework to parameterise continuum models of melanoma invasion into human skin (2019)
  6. Divo, Eduardo; Moslehy, Faisal; Kassab, Alain: RBF-based laser speckle pattern digital image correlation method for surface strain measurements (2019)
  7. Jang Ik Cho, Xiaofeng Wang, Yifan Xu, Jiayang Sun: LISA: a MATLAB package for Longitudinal Image Sequence Analysis (2019) arXiv
  8. Zhang, Wenyuan; Huang, Tianyu; Chen, Jun: A robust bias-correction fuzzy weighted C-ordered-means clustering algorithm (2019)
  9. Deng, Daiguo; Wu, Hefeng; Sun, Peng; Wang, Ruomei; Shi, Zhuo; Luo, Xiaonan: A new geometric modeling approach for woven fabric based on Frenet frame and spiral equation (2018)
  10. Onur Yorulmaz, A. Enis Cetin: Deconvolution using Fourier Transform phase, l1 and l2 balls, and filtered variation (2018) not zbMATH
  11. Durand, Sylvain; Frapart, Yves-Michel; Kerebel, Maud: Electron paramagnetic resonance image reconstruction with total variation and curvelets regularization (2017)
  12. Grip, N.; Pfander, G. E.: Efficient analysis of OFDM channels (2017)
  13. Bhandari, A. K.; Kumar, Anil; Singh, G. K.; Soni, Vivek: Dark satellite image enhancement using knee transfer function and gamma correction based on DWT-SVD (2016) ioport
  14. Ma, Yan; Chen, Lajiao; Liu, Peng; Lu, Ke: Parallel programing templates for remote sensing image processing on GPU architectures: design and implementation (2016) ioport
  15. Ohura, Ryuji; Minamoto, Teruya: A blind digital image watermarking method based on the dyadic wavelet packet transform and fast interval arithmetic techniques (2015)
  16. Rybář, Vojtěch; Vejchodský, Tomáš: On the number of stationary patterns in reaction-diffusion systems. (2015)
  17. Sundararajan, D.: Discrete wavelet transform. A signal processing approach (2015)
  18. Cerda, Mauricio; Girau, Bernard: Asymmetry in neural fields: a spatiotemporal encoding mechanism (2013)
  19. Stanimirović, Predrag; Miladinović, Marko; Stojanović, Igor; Miljković, Sladjana: Application of the partitioning method to specific Toeplitz matrices (2013)
  20. Stanimirović, Predrag S.; Chountasis, Spiros; Pappas, Dimitrios; Stojanović, Igor: Removal of blur in images based on least squares solutions (2013)

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