Activated Sludge Microscopic Image Fusion Based on Discrete Cosine Transform

Lijie Zhao; Yue Zuo; Mingzhong Huang

doi:10.3788/LOP57.241103

[1] da Motta M, Pons M N, Roche N. Study of filamentous bacteria by image analysis and relation with settleability[J]. Water Science and Technology, 46, 363-369(2002). http://www.ncbi.nlm.nih.gov/pubmed/12216652

[2] Jenne R, Cenens C, Geeraerd A H et al. Towards on-line quantification of fiocs and filaments by image analysis[J]. Biotechnology Letters, 24, 931-935(2002).

[3] Ciresan D C, Gambardella L M, Giusti A et al. Deep neural networks segment neuronal membranes in electron microscopy images. [C]∥Advances in Neural Information Processing Systems, December 3-6, 2012, Lake Tahoe, Nevada, United States. New York: Curran Associates, 2852-2860(2012).

[4] Costa J C, Mesquita D P, Amaral A L et al. Quantitative image analysis for the characterization of microbial aggregates in biological wastewater treatment: a review[J]. Environmental Science and Pollution Research, 20, 5887-5912(2013).

[5] Mesquita D P, Amaral A L, Ferreira E C. Activated sludge characterization through microscopy:a review on quantitative image analysis and chemometric techniques[J]. Analytica Chimica Acta, 802, 14-28(2013).

[6] Shi Y Q, Yin Q X, Lu R S. Performance analysis of three-dimensional measurement algorithm with focus variation microscopic imaging[J]. Laser & Optoelectronics Progress, 56, 071202(2019).

[7] Shreyamsha Kumar B K. Multifocus and multispectral image fusion based on pixel significance using discrete cosine harmonic wavelet transform[J]. Signal, Image and Video Processing, 7, 1125-1143(2013).

[8] Gao Y, Wang A M, Wang F H et al. Application of improved wavelet transform algorithm in image fusion[J]. Laser Technology, 37, 690-695(2013).

[9] Tian J, Chen L. Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure[J]. Signal Processing, 92, 2137-2146(2012).

[10] Burt P, Adelson E. The Laplacian pyramid as a compact image code[J]. IEEE Transactions on Communications, 31, 532-540(1983).

[11] Petrovic V S, Xydeas C S. Gradient-based multiresolution image fusion[J]. IEEE Transactions on Image Processing, 13, 228-237(2004).

[12] Rockinger O. Image sequence fusion using a shift-invariant wavelet transform. [C]∥Proceedings of International Conference on Image Processing, October 26-29, 1997, Santa Barbara, CA, USA. New York: IEEE, 288-291(1997).

[13] Lewis J J. O’Callaghan R J, Nikolov S G, et al. Pixel-and region-based image fusion with complex wavelets[J]. Information Fusion, 8, 119-130(2007).

[14] Nencini F, Garzelli A, Baronti S et al. Remote sensing image fusion using the curvelet transform[J]. Information Fusion, 8, 143-156(2007).

[15] Zhang Q, Guo B L. Multifocus image fusion using the nonsubsampled contourlet transform[J]. Signal Processing, 89, 1334-1346(2009).

[16] Zhang S, Zhan J T, Fu Q et al. Polarization detection defogging technology based on multi-wavelet fusion[J]. Laser & Optoelectronics Progress, 55, 122602(2018).

[17] Li Q L, Yin D Y, Yu J T et al. Ultraviolet-visible polarimetric imaging and image fusion technology with high resolution and large field-of-view[J]. Acta Optica Sinica, 39, 0611001(2019).

[18] Nie M. An improved DCT transform image fusion technology[J]. Bulletin of Science and Technology, 28, 178-179, 205(2012).

[19] Tang J S. A contrast based image fusion technique in the DCT domain[J]. Digital Signal Processing, 14, 218-226(2004).

[20] Nooshyar M, Abdipour M, Khajuee M. Multi-focus image fusion for visual sensor networks in wavelet domain[M]. ∥Movaghar A, Jamzad M, Asadi H. Artificial intelligence and signal processing. Communications in computer and information science. Cham: Springer, 427, 23-31(2014).

[21] Zhou Y P, Xie X L, Liu Y et al. Electron radiation experiment of CMOS image sensor[J]. Infrared and Laser Engineering, 45, 0520006(2016).

[22] Haghighat M B A, Aghagolzadeh A, Seyedarabi H. Multi-focus image fusion for visual sensor networks in DCT domain[J]. Computers & Electrical Engineering, 37, 789-797(2011).

[23] Desale R P, Verma S V. Study and analysis of PCA, DCT & DWT based image fusion techniques. [C]∥2013 International Conference on Signal Processing, Image Processing & Pattern Recognition, February 7-8, 2013, Coimbatore, India. New York: IEEE, 66-69(2013).

[24] Li H, Manjunath B S, Mitra S K. Multisensor image fusion using the wavelet transform[J]. Graphical Models and Image Processing, 57, 235-245(1995).

[25] Zhou B, Han Y Y, Xu M L et al. A fast non-local means image denoising algorithm[J]. Journal of Computer-Aided Design & Computer Graphics, 28, 1260-1268(2016).

[26] Li X F, Zhang X L, Liu Z J et al. Model for evaluating quality of medical image fusion[J]. Journal of Chinese Computer Systems, 33, 1608-1612(2012).

[27] Mahbubur Rahman S M, Omair Ahmad M, Swamy M N S. Contrast-based fusion of noisy images using discrete wavelet transform[J]. IET Image Processing, 4, 374(2010).

[28] Zhang B H, Lv X Q. Multi-focus image fusion algorithm based on compound PCNN in NSCT domain[J]. Journal of Chinese Computer Systems, 35, 393-396(2014).