binary morphology造句

detecting image edge by mathematics morphology is the main goal of this paper . so we introduce origin of mathematics morphology from binary morphology to gray morphology and extensively study its different operators and quality . we happen to find that some mathematics morphological operators have ability of resisting noise, at the same time, all images have certain noise which influence detecting result except ideal image, so our research has practical value
本论文的主要目的是使用形态学的思想进行图像的边缘检测。故而在文章中我们详细的介绍了数学形态学的起源、发展，并从二值形态学出发到灰度形态学着重研究了数学形态学的膨胀、腐蚀、开运算、闭运算等各种运算和性质。在文章中，我们将边缘的定义拓展成形态学意义下的边缘并给出噪声定义。
in this paper, we introduced the binary morphology and its improvement, gray-scale and color morphology and analyzed their characteristics in filtering particularly . then we simulated and compared the classical image processing and recognition algorithms adequately, obtain the useful conclusions and many processing results
文中介绍了二值形态学基本变换与其改进算法，灰度形态变换与彩色形态变换，并详细分析了它们的性质以及用于图象预处理和分析识别时的滤波性能。
It's difficult to find binary morphology in a sentence. 用binary morphology造句挺难的