Optimum laplacian wavelet mask based medical image using hybrid cuckoo search - grey wolf optimization algorithm

Abstract Multi scale masking techniques are well known in the field of multi modal medical image fusion. In medical image fusion the quality of complement information is important .In multi modal medical image fusion discrete wavelet transform (db4) based techniques provides greater level of approximation but the edge features available is less. The laplacian filter based techniques provides grater edge features. In this paper we propose an Optimum Laplacian Wavelet Mask (OLWM) based fusion using Hybrid Cuckoo Search -Grey Wolf Optimization (HCS-GWO) for multi modal medical image fusion. The HCS-GWO can automatically select the control parameters of grey wolf algorithm using cuckoo search parameters. First, the proposed fusion approach is validated for MR-SPECT, MR-PET, MR-CT and MR T1-T2 image fusion using various fusion evaluation indexes. Later, the conventional grey wolf optimization is modified with cuckoo search algorithm. Experimental results are analyzed using various performance metrics and our OLWM shows improved results than other conventional decomposition techniques.

[1]  J. Anitha,et al.  Optimum green plane masking for the contrast enhancement of retinal images using enhanced genetic algorithm , 2015 .

[2]  Xin-She Yang,et al.  Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

[3]  Rajkumar Soundrapandiyan,et al.  Redundancy Discrete Wavelet Transform and Contourlet Transform for Multimodality Medical Image Fusion with Quantitative Analysis , 2010, 2010 3rd International Conference on Emerging Trends in Engineering and Technology.

[4]  G. D. Bergland,et al.  A guided tour of the fast Fourier transform , 1969, IEEE Spectrum.

[5]  Javier Jaén Martínez,et al.  An efficient ant colony optimization strategy for the resolution of multi-class queries , 2016, Knowl. Based Syst..

[6]  Shutao Li,et al.  Pixel-level image fusion: A survey of the state of the art , 2017, Inf. Fusion.

[7]  Mohsen Ebrahimi Moghaddam,et al.  An image contrast enhancement method based on genetic algorithm , 2010, Pattern Recognit. Lett..

[8]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[9]  Rui Zhang,et al.  A fusion estimation method based on fractional Fourier transform , 2016, Digit. Signal Process..

[10]  Parham Moradi,et al.  Integration of graph clustering with ant colony optimization for feature selection , 2015, Knowl. Based Syst..

[11]  Chao Ren,et al.  Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting , 2014, Knowl. Based Syst..

[12]  Jinshan Tang,et al.  A contrast based image fusion technique in the DCT domain , 2004, Digit. Signal Process..

[13]  Huiqian Du,et al.  Multimodality medical image fusion algorithm based on gradient minimization smoothing filter and pulse coupled neural network , 2016, Biomed. Signal Process. Control..

[14]  Sabalan Daneshvar,et al.  MRI and PET image fusion by combining IHS and retina-inspired models , 2010, Inf. Fusion.

[15]  Aboul Ella Hassanien,et al.  Binary grey wolf optimization approaches for feature selection , 2016, Neurocomputing.

[16]  Guang Deng,et al.  A Generalized Unsharp Masking Algorithm , 2011, IEEE Transactions on Image Processing.

[17]  Md Zahidul Islam,et al.  Optimizing the number of trees in a decision forest to discover a subforest with high ensemble accuracy using a genetic algorithm , 2016, Knowl. Based Syst..

[18]  Ashok M. Sapkal,et al.  Novel Technique for Performance Improvement of the Wavelet based Denoising Algorithms using Rotated Wavelet Filters , 2016 .

[19]  Zheng Liu,et al.  A new contrast based multimodal medical image fusion framework , 2015, Neurocomputing.

[20]  Youren Wang,et al.  Medical image fusion using discrete fractional wavelet transform , 2016, Biomed. Signal Process. Control..

[21]  Vikrant Bhateja,et al.  Human visual system based unsharp masking for enhancement of mammographic images , 2017, J. Comput. Sci..

[22]  G. Singh,et al.  Cuckoo search algorithm based satellite image contrast and brightness enhancement using DWT-SVD. , 2014, ISA transactions.

[23]  S. Muttan,et al.  Discrete wavelet transform based principal component averaging fusion for medical images , 2015 .

[24]  Jingjing Ma,et al.  A new quantum-behaved particle swarm optimization based on cultural evolution mechanism for multiobjective problems , 2016, Knowl. Based Syst..

[25]  Ke Lu,et al.  An overview of multi-modal medical image fusion , 2016, Neurocomputing.

[26]  Y. Asnath Victy Phamila,et al.  Discrete Cosine Transform based fusion of multi-focus images for visual sensor networks , 2014, Signal Process..

[27]  Rob Law,et al.  Adaptive affinity propagation method based on improved cuckoo search , 2016, Knowl. Based Syst..

[28]  Giovanni Ramponi,et al.  Image enhancement via adaptive unsharp masking , 2000, IEEE Trans. Image Process..

[29]  Satish Chandra,et al.  Multi-objective Grey Wolf Optimizer for improved cervix lesion classification , 2017, Appl. Soft Comput..

[30]  Mehmet Fatih Tasgetiren,et al.  Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion , 2016, Knowl. Based Syst..

[31]  J. Anitha,et al.  Optimum wavelet based masking for the contrast enhancement of medical images using enhanced cuckoo search algorithm , 2016, Comput. Biol. Medicine.

[32]  R. Gopikakumari,et al.  Unsharp masking using quadratic filter for the enhancement of fingerprints in noisy background , 2013, Pattern Recognit..

[33]  J. Anitha,et al.  Optimum spectrum mask based medical image fusion using Gray Wolf Optimization , 2017, Biomed. Signal Process. Control..

[34]  Bin Xiao,et al.  Medical image fusion by combining parallel features on multi-scale local extrema scheme , 2016, Knowl. Based Syst..