scispace - formally typeset
Open Access

The Study on An Application of Otsu Method in Canny Operator

TLDR
From the exprimental result, the Otsu algorithm can be applied in choosing the threshold value which can be used in Canny algorithm, and this method improves the effect of extracting the edge of the Canny algorithms, and achieves the expect result finally.
Abstract
Canny algorithm can be used in extracting the object's contour clearly by setting the appropriate parameters. The Otsu algorithm can calculate the high threshold value which is significant to the Canny algorithm, and then this threshold value can be used in the Canny algorithm to detect the object's edge. From the exprimental result, the Otsu algorithm can be applied in choosing the threshold value which can be used in Canny algorithm, and this method improves the effect of extracting the edge of the Canny algorithm, and achieves the expect result finally. Index Terms—image segmentation; Otsu; Canny; threshold; edge detection

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Automatic detection of particle size distribution by image analysis based on local adaptive canny edge detection and modified circular Hough transform.

TL;DR: An automatic image processing algorithm which is mainly based on local adaptive Canny edge detection and modified circular Hough transform is proposed which can utilize the local thresholds to detect particles from the images with different degrees of complexity.
Proceedings ArticleDOI

An adaptive threshold for the Canny Operator of edge detection

TL;DR: An adaptive threshold algorithm for the Canny Operator was proposed which calculated the low threshold adaptively based on a probability model and experiments show that this method produces better edge detection results both on objective and subjective evaluations than the Otsu method.
Journal ArticleDOI

An Adaptive and Robust Edge Detection Method Based on Edge Proportion Statistics

TL;DR: Experimental results indicate that the proposed edge detector outperforms the traditional edge following methods in terms of detection accuracy, and can be used as the input information for post-processing applications in real-time.
Journal ArticleDOI

FAIR: A Fast Algorithm for Document Image Restoration

TL;DR: The FAIR algorithm is presented, in this paper, a fast algorithm for document image restoration based on a double-threshold edge detection approach that makes it possible to detect small details while remaining robust against noise.
Posted Content

Hybridization of Otsu Method and Median Filter for Color Image Segmentation

TL;DR: The proposed algorithm based on combining two existing methods in such a novel way to obtain a significant method to partition the color image into significant regions looks very significant by the ocular eye.
References
More filters
Journal ArticleDOI

A Computational Approach to Edge Detection

TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Journal ArticleDOI

A review on image segmentation techniques

TL;DR: Attempts have been made to cover both fuzzy and non-fuzzy techniques including color image segmentation and neural network based approaches, which addresses the issue of quantitative evaluation of segmentation results.
Journal ArticleDOI

Minimum error thresholding

TL;DR: A computationally efficient solution to the problem of minimum error thresholding is derived under the assumption of object and pixel grey level values being normally distributed and is applicable in multithreshold selection.

Finding Edges and Lines in Images

John Canny
TL;DR: This thesis is an attempt to formulate a set of edge detection criteria that capture as directly as possible the desirable properties of an edge operator.