Dynamic Thresholding Based Edge Detection
نویسندگان
چکیده
Edges are regions of interest and edge detection is the process of determining where the boundaries of objects fall within an image. It is an important concept, both in the area of object recognition and motion tracking. This paper presents an adaptive thresholding based edge-detection method using morphological operators. The novelty of the approach is the adaptive efficient peak detection of the image histogram, thus deciding the modality of image and also the usage of morphological operations in the extraction of one pixel thick m−connected boundary which is continuous in a segment.
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