【摘要】 为有效提取噪声较大的航空图像的边缘信息,对基于数学形态学的图像边缘检测算法进行改进:一是利用1种自适应加权复合数学形态学滤波器对图像进行滤波,二是结合图像特点和结构元素的自然属性,自适应确定权重,构造出1种具有较强抗噪能力的数学形态学梯度边缘检测算法。实验结果表明,该算法边缘定位准确,能检测出相对完整的边缘图像,且对噪声有较好地抑制作用。更多还原

【Abstract】 Traditional edge detection methods are very sensitive due to much noise of the aerial image,therefore an improved edge detector based on mathematical morphology is proposed.First,a compound mathematical morphology filter is applied by weighting.Then through considering structure element sets and determining the weight by self-adaptive method,a new methematical morphology gradient edge detection algorithm with noise suppressed is presented.The experiment results show the method is superior to some old methods,and effectively inhibit the noise.更多还原