Gradient approximation in retinal blood vessel segmentation

Image segmentation is one of the major research domains in several applications including retinal blood vessel segmentation, which is an active research area. Vasculature structure analysis is an interesting and effective method for disease detection and analysis. In this work, a gradient-based blood vessel segmentation technique is proposed to assist retinal image analysis and to extract the retinal vessels. Edge detection is considered one of the major steps in the present work to characterize the boundaries. Itis used to reduce the unusual information and to preserve the necessary structural information. Various filters are constructed to gradient computation and edge detection. In the current work, a new method along with a new filter (kernel) has been proposed to detect edges efficiently. The results are compared with some well-known kernels. The proposed approach achieved Pratt Score 99.1536 value, which outperformed the corresponding values obtained by the other standard edge detectors, namely Sobel, Prewitt, Canny, and Robert's.

[1]  Nilanjan Dey,et al.  Efficient Economic Profit Maximization: Genetic Algorithm Based Approach , 2018 .

[2]  Nilanjan Dey,et al.  Electrical Energy Output Prediction Using Cuckoo Search Based Artificial Neural Network , 2018 .

[3]  Wilhelm Burger,et al.  Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.

[4]  Debi Prasanna Acharjya,et al.  A Comparative Study of Statistical and Rough Computing Models in Predictive Data Analysis , 2017, Int. J. Ambient Comput. Intell..

[6]  Nilanjan Dey,et al.  A Vulnerability Analysis Mechanism Utilizing Avalanche Attack Model for Dependency-Based Systems , 2016 .

[7]  Vikrant Bhateja,et al.  A Novel Color Edge Detection Technique Using Hilbert Transform , 2013 .

[8]  R. Stephenson.  A and V , 1962, The British journal of ophthalmology.

[9]  Nilanjan Dey,et al.  An Integrated Interactive Technique for Image Segmentation using Stack based Seeded Region Growing and Thresholding , 2016 .

[10]  K Krishna,et al.  Job Shop Scheduling using Distributed Simulated Annealing Algorithms , 1992 .

[11]  Nilanjan Dey,et al.  Counting all possible simple paths using Artificial Cell division mechanism for directed acyclic graphs , 2015, 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom).

[12]  Nilanjan Dey,et al.  Application of cuckoo search in water quality prediction using artificial neural network , 2017, Int. J. Comput. Intell. Stud..

[13]  Sirshendu Hore,et al.  A Study on Different Edge Detection Techniques in Digital Image Processing , 2017 .

[14]  Soumya Sen,et al.  Cuckoo search coupled artificial neural network in detection of chronic kidney disease , 2017, 2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech).

[15]  Yong Yang,et al.  An Automatic Hybrid Method for Retinal Blood Vessel Extraction , 2008, Int. J. Appl. Math. Comput. Sci..

[16]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[17]  Gongping Yang,et al.  Hierarchical retinal blood vessel segmentation based on feature and ensemble learning , 2015, Neurocomputing.

[18]  Shouvik Chakraborty,et al.  An Efficient Approach to Job Shop Scheduling Problem using Simulated Annealing , 2015 .

[19]  Shouvik Chakraborty,et al.  Blending roulette wheel selection with simulated annealing for job shop scheduling problem , 2015 .

[20]  Soumya Sen,et al.  Towards Golden Rule of Capital Accumulation: A Genetic Algorithm Approach , 2017, CISIM.

[21]  V. Bhateja,et al.  A novel detection and removal scheme for denoising images corrupted with Gaussian outliers , 2012, 2012 Students Conference on Engineering and Systems.

[22]  Shouvik Chakraborty,et al.  An Elitist Model for Obtaining Alignment of Multiple Sequences using Genetic Algorithm , 2015 .

[23]  Abdelmalik Taleb-Ahmed,et al.  Design and Implementation of a Robust Acoustic Recognition System for Waterbird Species using TMS320C6713 DSK , 2017, Int. J. Ambient Comput. Intell..

[24]  Soumya Sen,et al.  Non-dominated sorting genetic algorithm — II supported neural network in classifying forest types , 2017, 2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech).

[25]  Vladimír Bures,et al.  Application of Ambient Intelligence in Educational Institutions: Visions and Architectures , 2016, Int. J. Ambient Comput. Intell..

[26]  Ali Mahlooji Far,et al.  Retinal Image Analysis Using Curvelet Transform and Multistructure Elements Morphology by Reconstruction , 2011, IEEE Transactions on Biomedical Engineering.

[27]  Sankhadeep Chatterjee,et al.  Analysis of Different Feature Description Algorithm in object Recognition , 2017 .

[28]  Nilanjan Dey,et al.  Modified cuckoo search algorithm in microscopic image segmentation of hippocampus , 2017, Microscopy research and technique.

[29]  Sankhadeep Chatterjee,et al.  A quality prediction method for weight lifting activity , 2015 .

[30]  Paolo Remagnino,et al.  BLOOD VESSEL SEGMENTATION METHODOLOGIES IN RETINAL IMAGES , 2012 .

[31]  Nilanjan Dey,et al.  Water quality prediction: Multi objective genetic algorithm coupled artificial neural network based approach , 2017, 2017 IEEE 15th International Conference on Industrial Informatics (INDIN).

[32]  Saubhik Paladhi,et al.  A Comparative Study On The Performance CharacteristicsOf Sudoku Solving Algorithms , 2014 .

[33]  Nilanjan Dey,et al.  Forest Type Classification: A Hybrid NN-GA Model Based Approach , 2016 .

[34]  Sankhadeep Chatterjee,et al.  A Novel Boolean Expression based Algorithm to find all possible Simple Paths between two nodes of a Graph , 2014 .

[35]  Nilanjan Dey,et al.  Hybrid Non-Dominated Sorting Genetic Algorithm: II-Neural Network Approach , 2018 .

[36]  Nilanjan Dey,et al.  Dengue Fever Classification Using Gene Expression Data: A PSO Based Artificial Neural Network Approach , 2016, FICTA.

[37]  Nilanjan Dey,et al.  Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings , 2016, Neural Computing and Applications.