Paper
19 February 2008 An improved image segmentation algorithm based on Otsu method
Hongzhi Wang, Ying Dong
Author Affiliations +
Proceedings Volume 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications; 66250I (2008) https://doi.org/10.1117/12.790781
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China
Abstract
Image segmentation is one of the difficult research problems in the machine vision industry and pattern recognition. Thresholding is a simple but effective method to separate objects from the background. A commonly used method, the Otsu method, improves the image segmentation effect obviously. It's simpler and easier to implement. However, it fails if the histogram is unimodal or close to unimodal. Under studying the principle of the Otsu method, an improved threshold image segmentation algorithm based on the Otsu method is developed. Because the optical threshold should near the cross where the object and the background intersect, the probability of occurrence at the threshold value should divide into two parts. Its half belongs to object and half belongs to background. Then we apply a new weight to the Otsu method, this weight can make sure that the result threshold value will always reside at the valley of the two peaks or at the bottom rim of a single peak. Moreover, it ensures that both the variance of the object and the variance of the background keep away from the variance of the whole image. Comparing with the Otsu method, the improved method can get satisfactory results both for the image with histogram of bimodal and unimodal distributions. The experiments indicate that this segmentation algorithm has advantages of real time and certain anti-noise abilities, the target can be extracted more precisely. Therefore, the target recognition in the next step will be simple and reliable.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongzhi Wang and Ying Dong "An improved image segmentation algorithm based on Otsu method", Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 66250I (19 February 2008); https://doi.org/10.1117/12.790781
Lens.org Logo
CITATIONS
Cited by 40 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Image processing algorithms and systems

Image processing

Defect detection

Detection and tracking algorithms

Algorithm development

Machine vision

RELATED CONTENT

Machine-printed Arabic OCR
Proceedings of SPIE (February 25 1994)
Efficient detection of ellipses from an image by a guided...
Proceedings of SPIE (February 10 2009)
Corn tassel detection based on image processing
Proceedings of SPIE (November 15 2011)

Back to Top