Spotted hyena optimizer with lateral inhibition for image matching

A hybrid spotted hyena optimizer (SHO) based on lateral inhibition (LI) is proposed, it has been applied to solve complication image matching problems. Lateral inhibition mechanism is applied for image pre-process to make intensity gradient in the image contrast enhanced and has the ability to enhance the characters of image, which is able to improve the accuracy of image matching. SHO is inspired from the behavior of social relationship and collaborative of spotted hyenas. This algorithm search for the global optimum mainly through four steps: prey, encircling, attacking prey, and searching prey. In the algorithm, the computation of search location is drastically reduced by incorporating of fitness calculation strategy for solving the real-life optimization problems. The proposed LI-SHO method for image matching mixed together the advantages of SHO and lateral inhibition mechanism. The experiment shows that the proposed algorithm based on lateral inhibition is more effective and feasible in image matching than the other comparing algorithm.

[1]  Francisco Herrera,et al.  A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms , 2011, Swarm Evol. Comput..

[2]  Keiichi Uchimura,et al.  Fast and high accuracy pattern matching using multi-stage refining eigen template , 2013, The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision.

[3]  Fang Liu,et al.  chaotic quantum-behaved particle swarm optimization based on lateral nhibition for image matching , 2012 .

[4]  Ya Li,et al.  A Novel Artificial Bee Colony Algorithm Based on Internal-Feedback Strategy for Image Template Matching , 2014, TheScientificWorldJournal.

[5]  Gábor Horváth,et al.  Algorithm fusion to improve detection of lung cancer on chest radiographs , 2012, Int. J. Intell. Comput. Cybern..

[6]  Philip H. Ramsey.  Nonparametric Statistical Methods , 1974, Technometrics.

[7]  Jie Li,et al.  Using spotted hyena optimizer for training feedforward neural networks , 2018, Cognitive Systems Research.

[8]  Gai-Ge Wang,et al.  Image Matching Using a Bat Algorithm with Mutation , 2012 .

[9]  Haibin Duan,et al.  Cauchy Biogeography-Based Optimization based on lateral inhibition for image matching , 2013 .

[10]  H. K. HAltTLIn.  THE RESPONSE OF SINGLE OPTIC NERVE FIBERS OF THE VERTEBRATE EYE TO ILLUMINATION OF THE RETINA , 2004 .

[11]  Amandeep Kaur,et al.  Spotted Hyena Optimizer for Solving Engineering Design Problems , 2017, 2017 International Conference on Machine Learning and Data Science (MLDS).

[12]  Rutuparna Panda,et al.  A novel adaptive cuckoo search algorithm for intrinsic discriminant analysis based face recognition , 2016, Appl. Soft Comput..

[13]  Roberto Brunelli,et al.  Advanced , 1980 .

[14]  Xiaohua Wang,et al.  Small and Dim Target Detection via Lateral Inhibition Filtering and Artificial Bee Colony Based Selective Visual Attention , 2013, PloS one.

[15]  S. Amari.  Dynamics of pattern formation in lateral-inhibition type neural fields , 1977, Biological Cybernetics.

[16]  Dinesh Kumar,et al.  An Optimized Face Recognition System Using Cuckoo Search , 2019, J. Intell. Syst..

[17]  Vijay Kumar,et al.  Spotted Hyena Optimizer for Solving Complex and Non-linear Constrained Engineering Problems , 2018, Harmony Search and Nature Inspired Optimization Algorithms.

[18]  Subhabrata Chakraborti,et al.  Nonparametric Statistical Inference , 2011, International Encyclopedia of Statistical Science.

[19]  Haibin Duan,et al.  Pigeon-inspired optimization and lateral inhibition for image matching of autonomous aerial refueling , 2018 .

[20]  Yahui Yu,et al.  The Exponential Diophantine Equation 2x + b y = c z , 2014, TheScientificWorldJournal.

[21]  Bai Li,et al.  An evolutionary approach for image retrieval based on lateral inhibition , 2016 .

[22]  Erik Valdemar Cuevas Jiménez,et al.  A novel evolutionary algorithm inspired by the states of matter for template matching , 2013, Expert Syst. Appl..

[23]  Gaurav Dhiman,et al.  Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications , 2017, Adv. Eng. Softw..

[24]  Yin Wang,et al.  Hybrid bio-inspired lateral inhibition and Imperialist Competitive Algorithm for complicated image matching , 2014 .

[25]  Sen Zhang,et al.  Template matching using grey wolf optimizer with lateral inhibition , 2017 .

[26]  Roberto Brunelli,et al.  Template Matching Techniques in Computer Vision: Theory and Practice , 2009 .

[27]  Haibin Duan,et al.  A hybrid Particle Chemical Reaction Optimization for biological image matching based on lateral inhibition , 2014 .