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Research and Implementation of K- means clustering of remote sensing images and watershed segmentation algorithm

Author: XiYing
Tutor: GuYiHeï¼›XiaDeShen
School: Nanjing University of Technology and Engineering
Course: Pattern Recognition and Intelligent Systems
Keywords: Remote sensing image Image enhancement Image Segmentation Mathematical Morphology Edge Detection K- means clustering Watershed segmentation algorithm
CLC: TP751
Type: Master's thesis
Year: 2011
Downloads: 192
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Abstract


The content of this paper is the use of remote sensing image automatically updated GIS vector data Method Research and Implementation of parts of the image segmentation methods , remote sensing image edge detection , the K- means clustering segmentation based on morphological watershed segmentation algorithm . It also presents the remote sensing image pre-processing, mathematical morphology and image segmentation theory knowledge . The main content of the study are: ( 1 ) describes the use of remote sensing image automatically update GIS vector data method research research ideas and research contents . ( 2 ) describes the the pretreatment basics of remote sensing images . The characteristics of remote sensing images focus on the image enhancement method better enhancement method is summed up by experiment . (3 ) mathematical morphology theory used in remote sensing image segmentation and image segmentation theory is introduced . And both basic theory used in remote sensing image segmentation . (4 ) Research Canny edge detection algorithm , K - means clustering segmentation algorithm based on mathematical morphology watershed segmentation algorithm , and the algorithm has been improved, and achieved good results . ( 5) using mathematical morphology processing the results of K - means clustering segmentation , get single target information , and to lay the foundation for the next target identification and vector data update . ( 6) Practice has proved that any single segmentation algorithm is difficult to get a very satisfactory result , therefore , this article will apply Canny operator edge detection results watershed segmentation algorithm inhibition over-segmentation , and achieved a better segmentation results .

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CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
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