An improved K-means clustering algorithm for fish image segmentation

Keywords

Algorithm, Cluster analysis, Mathematical morphology, Segmentation, Artificial intelligence

References

• Automatic segmentation and classification of pipeline images using mathematic morphology and fuzzy k-means algorithmM. Ziashahabi, Hamed Sadjedi, Hossein Khezripour — 2010
• Enhancing K-Means Algorithm for Image SegmentationRehna Kalam, K. Manikandan — 2011
• A Novel k'-Means Algorithm for Clustering AnalysisChonglun Fang, Jinwen Ma — 2009
• Application of Improved Genetic K-Means Clustering Algorithm in Image SegmentationZhicun Tan, Ruihua Lü — 2009
• Medical Image Segmentation Using K-Means Clustering and Improved Watershed AlgorithmH.P. Ng, Sim Heng Ong, Kelvin Weng Chiong Foong — 2006
• A cellular coevolutionary algorithm for image segmentationCor J. Veenman, Marcel Reinders, E. Backer — 2003
• A Fuzzy C-Means Clustering Based Algorithm to Automatically Segment Fish Disease Visual SymptomsJing Hu, Daoliang Li, Qingling Duan — 2012
• A k-Means Clustering Algorithm Initialization for Unsupervised Statistical Satellite Image SegmentationAhmed Rekik, Mourad Zribi, Mohammed Benjelloun — 2006

Cited by

• Dynamic image segmentation algorithm in 3D descriptions of remote sensing imagesChing‐Yi Chen, Hsuan–Ming Feng, Hua-Ching Chen — 2015
• Segmentation Algorithm of Armor Plate Surface Images Based on ImprovedVisual Attention MechanismYue Chen, Jianhua Zhang, Hongyan Zhang — 2015
• A Hybrid Clustering Algorithm Combining Cloud Model IWO and k-MeansGuo Pan, Kenli Li, Aijia Ouyang — 2014
• Automatic centroids selection in K-means clustering based image segmentationA Pugazhenthi, Jyoti Singhai — 2014
• Recognition and localization of occluded apples using K-means clustering algorithm and convex hull theory: a comparisonDandan Wang, Huaibo Song, Zhihui Tie — 2016
• An improved contour symmetry axes extraction algorithm and its application in the location of picking points of applesDandan Wang, Huaibo Song, Xiuli Yu — 2015
• Color Image Segmentation of Live Grouper Fish with Complex Background in SeawaterGuoqiang Ma, Yunchen Tian, X.L. Li — 2015
• Sea-Based Infrared Scene Interpretation by Background Type Classification and Coastal Region Detection for Small Target DetectionSungho Kim — 2015
• A new method for image segmentation based on BP neural network and gravitational search algorithm enhanced by cat chaotic mappingXiaohong Han, Xiaoyan Xiong, Duan Fu — 2015
• Color dependent K-means clustering for color image segmentation of colored medical imagesHimanshu Yadav, Prateek Bansal, Ramesh Kumar Sunkaria — 2015
• An Efficient Hybrid Algorithm using Cuckoo Search and Differential Evolution for Data ClusteringAsgarali Bouyer, Habib Ghafarzadeh, Omid Tarkhaneh — 2015
• An Efficient Hybrid Clustering Method Using an Artificial Bee Colony Algorithm and Mantegna Lévy DistributionHabib Ghafarzadeh, Asgarali Bouyer — 2016
• Underground electrical profile clustering using K-MEANS algorithmUğurhan Kutbay, Berkan Ural, Fırat Hardalaç — 2015
• Diffusing-CRN k-means: an improved k-means clustering algorithm applied in cognitive radio ad hoc networksBadr Benmammar, Mohammed Housseyn Taleb, Francine Krief — 2016
• Segmentasi Citra Ikan Tuna dengan Mahalanobis Histogram Thresholding dan Mahalanobis Fuzzy C-MeansAndi Baso Kaswar, Agus Zainal Arifin, Arya Yudhi Wijaya — 2016
• Voronoi Region-Based Adaptive Unsupervised Color Image SegmentationR. Hettiarachchi, James F. Peters — 2016
• Adaptif Range-Constrained Otsu Untuk Pemilihan Threshold Secara Otomatis Pada Histogram Citra Dengan Variansi Kelas Yang Tidak SeimbangGama Wisnu Fajarianto, Ahmad Hifdhul Abror, Nur Hayatin — 2016
• Unsupervised underwater fish detection fusing flow and objectivenessDavid Zhang, Giorgos Kopanas, Chaitanya Desai — 2016
• A Review on Content-Based Image Retrieval Representation and Description for FishNoorul Shuhadah Osman, Mas Rina Mustaffa — 2015
• Intelligent tuna recognition for fisheries monitoringSuhuai Luo, Xuechen Li, Dadong Wang — 2015

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