A study of image processing technique for river detection in remote sensing image and vessel extraction in Cornea image

• Main Authors: Wei-chen Cho, 卓威辰
• Other Authors: Hsuan Ren
• Format: Others
• Language: en_US
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/28136507355761229382

碩士 === 國立中央大學 === 遙測科技碩士學位學程 === 98 === There are researchers devoted their effort on river detection in the past decades. Most of them use digital elevation model (DEM) or Geographic Information System (GIS) for this task, but this types of data is seldom up to date. Therefore, the detection result may not represent the location of the rivers at present. On the other hand, satellites collect the remote sensing images from the ground every day, so we can detect the river and analyze the changes with recently acquired images. The objective of this research is to develop an algorithm with image processing techniques to detect river automatically. Our proposed method includes the following steps. Firstly, adaptive histogram equalization method is applied to enhance our image, and then use direction median filter to reduce noises, sequentially classify image to locate rivers. We also use morphology method to remove noise and connect narrow breach. Finally, we use mask detect single-point and remove them, apply hough transform to connect broken line and delete short line deletion. Our method can also be applied on medical image. We will also demonstrate the detection of vessels in cornea image.