Weak visual environment problems holes and shock mutation adhesion area

traditional method is prone to over-segmentation phenomenon

the segmentation results in larger deviation

low precision segmentation.Weak to do this

put forward a new visual environment adhesion area and high precision satellite image segmentation method

through the Bernsen algorithm of satellite image binarization processing

based on this

will be able to reflect the shape of the target satellite image boundary complexity factor as the discrimination on the basis of the satellite image of adhesion area to determine the adhesion area

the distance of the satellite images captured by the distance transformation adhesion area diagram

of the seed point selection

on the basis of the seed point to rebuild from the figure

through rapid immersion watershed transformation model of reconstruction image segmentation adhesion area.The experimental results show that the proposed method has high segmentation accuracy and effectiveness.