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Research on image edge detection algorithms based
on MATLAB
ABSTRACT
Image edge detection technology is the basis of digital image processing
technology research, an important foundation for object recognition. Existing edge
detection technique has some limitations in noise suppression threshold parameter
selection, poor adaptive capacity needs to be further improved and enhanced.
This paper introduces the image edge detection significance and background of
the subject; theoretical basis, in the second chapter a brief introduction of the
traditional image edge detection algorithm, such as Roberts operator, Sobel operator,
Prewitt operator, Laplacian operator LOG operator, recalling the classic edge
detection algorithm, Canny algorithm described later as bedding. In Chapter 3, the
basic principle of combining the Canny algorithm, the algorithm of the three criteria,
the idea of the algorithm and the detecting step, the improved method of on Canny
operator image smoothing filtering and thresholding algorithms, and experiments
were carried out test.
Based on the traditional Canny algorithm using Gaussian filter smoothing effect
for image filtering needs to be improved, the paper quoted the adaptive median filter,
Canny algorithm, the image is filtered by the results of Figure 3.4 shows the detection
results significantly improved; when the threshold value is taken using the Otsu
algorithm based on the top-hat operator preprocessing on the image to compensate
for the image, this can obtain a more appropriate threshold; Figure 3.5 and Figure 3.6
the detection result, respectively, in the filter threshold two aspects of the comparison
of the experiment, and compared with the traditional the Canny algorithm of detection
results show the superiority of the improved algorithm used in this paper.
Keywords: edge detection; Canny operator; adaptive median filter; Otsu algorithm;
Top-Hat operator