A Multiscale Edge Extracting Technique Based on the Fuzzy Rules
In this paper a multiscale edge extracting technique based on the fuzzy rules is proposed. The cardinal thought of the technique is that edges can be gotten usually via extracting large-amplitude parts of signal changes in neighboring pixels.However, it is very difficult to get a threshold for distinguishing the large signal differences from small ones,because image characteristics are ambiguous and the threshold should be varied according to some local characteristics of the image. The proposed technique can perform a proper control of the threshold for separating the small-scale output relying on the value of the large-scale output. Here, the fuzzy rules are used to consider the unstableness and uncertainty of the signals. Multiscale edge extracting can obtain multiscale edges,which contain more detail information in comparison with monoscale edges. Besides, edge tracing can be performed to obtain more precise edges by dividing the amplitude of the output into three components with two thresholds and making a decision with the fuzzy rules. Computer simulations verify the effective performance of the proposed edge extracting technique.
Multiscale edge extracting Fuzzy rule Threshold control Signal difference Differential operator
Ruihua Lu Ming Yang
School of Electronics and Information Engineering, Southwest University, Chongqing, 400715, China School of Computer and Information Science, Southwest University, Chongqing, 400715, China
国际会议
杭州
英文
357-360
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）