【摘要】 图像分割是一种重要的图像分析技术,它不仅得到人们广泛的重视和研究,也在实际中得到大量的应用。本文针对一些经典分割算法对多梯度复杂图像分割边缘定位不准确,易受噪声干扰的特点,提出了一种利用图像边缘区域对多梯度复杂图像进行自适应阈值分割的算法。通过对各种算法的比较,本算法抗干扰能力较强,稳定性好,而且完全自动,不需预先设定任何参数。对多种图像的实验表明本文方法十分有效。更多还原

【Abstract】 Image segmentation plays an important role in the field of image processing, and it has been widely used in practice. Because the classical method has inaccurate edge location and wide edge non - single pixel, which is easily disturbed by noise, we present an adaptive threshold method of multi - grade complex object by image edge field. With the comparison of the various methods, the method has more noise - immune ability and stability and it is full automatic. The effectiveness of our method is demonstrated by examples shown in the paper.更多还原