The image edge detection is the basis of image segmentation and image recognition. But the traditional methods of image edge detection are sensitive to noise.
图像边缘检测是图像分割、图像识别的基础，传统的边缘检测方法对噪声非常敏感。
An improved algorithm for the image edge detection based on Sobel algorithm was proposed to overcome the disadvantages, which the obtained edges of the image is thick and sensitive to the noise.
针对该算法存在检测出的边缘粗且对噪声极其敏感的缺点，提出了一种改进算法。
The use of GP model for detecting features has significant advantages over gradient-based feature detection methods which are sensitive to variations in image contrast.
通过理论分析和大量实验，验证了新模型可以可靠地进行低层特征检测，能够服务于不同的视觉信息处理应用。
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