2013/07/01 by Sourav Samantaa, Sourav Samanta, Nilanjan Dey +8
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Diffusion and Search Dynamics #FOS: Computer and information sciences #Remote-Sensing Image Classification #cs.CV
paper · pdf · doi:10.48550/arxiv.1307.0277
8 Pages,7 figures,ICECIT2012,Anatapur,India. arXiv admin note: text overlap with arXiv:1003.1594, arXiv:1005.2908 by other authors
arxiv created 2013/07/01 · openalex publication_date 2013/07/01 · arxiv updated 2013/07/02 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
Image Segmentation is a technique of partitioning the original image into some distinct classes. Many possible solutions may be available for segmenting an image into a certain number of classes, each one having different quality of segmentation. In our proposed method, multilevel thresholding technique has been used for image segmentation. A new approach of Cuckoo Search (CS) is used for selection of optimal threshold value. In other words, the algorithm is used to achieve the best solution from the initial random threshold values or solutions and to evaluate the quality of a solution correlation function is used. Finally, MSE and PSNR are measured to understand the segmentation quality.