segmentation methods, and the effects are also different with a given segmentation method
at different color spaces. This paper studies different segmentation method for the same
vice image segmentation quantitative comparison after.
Gray threshold value method is a frequently used segmentation method. Image
threshold processs essence is a kind of image grayscale nonlinear operations, threshold
processing can be used to describe equation. By choosing threshold will target and
background is isolated
The watershed is an image segmentation method based on mathematical morphology.
It gets the precise edge which is continuous, closed and single-pixel. The main limitation
of watershed transform is the over-segmentation due to its sensitivity to noise; even the
very thin noise will lead to a lot of scattered and meaningless regions.
This paper is to use the method of experimental comparison for farmland plants and
soil more intense, will its background and plant separation. Use different algorithms on the
same image segmentation, then its effect, thus determine quantitatively compare a
segmentation effect good method.
Key words ：Image segmentation Color characteristics Grayscale threshold value
method Watershed algorithm Quantitative evaluation
目 录
1 引言.................................................................1
2 图像分割概述.........................................................2
2．1 数字图像处理技术................................................2
2．2 图像分割 .......................................................2
2．2．1 图像分割定义.................................................3
2．2．2 图像分割技术的分类...........................................3
2．2．3 图像分割的方法...............................................3
2．2．4 存在问题.....................................................4
2．2．5 课题研究意义.................................................5
3 图像的采集和预处理...................................................6
3．1 杂草图像的采集 ..................................................6
3．2 彩色图像转换为灰度图像..........................................6
