Threshold selection by clustering gray levels of boundary

نویسندگان

  • Lisheng Wang
  • Jing Bai
چکیده

In this paper, threshold selection is considered in the continuous image rather than in digital image. We prove that, for each given object within 2D image, its optimal threshold is determined by the mean of the gray values of the points lying on its continuous boundary. Thus, we try to deduce threshold from the gray values of the boundary rather from the gray values of the given discrete sampling points (pixels or edge pixels). By the scheme, we well overcome some disadvantages existing in the threshold methods based on the histogram of edge pixels. Besides, the proposed method has the ability to well handle the image whose histogram has very unequal peaks and broad valley. 2003 Elsevier Science B.V. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Extraction and 3D Segmentation of Tumors-Based Unsupervised Clustering Techniques in Medical Images

Introduction The diagnosis and separation of cancerous tumors in medical images require accuracy, experience, and time, and it has always posed itself as a major challenge to the radiologists and physicians. Materials and Methods We Received 290 medical images composed of 120 mammographic images, LJPEG format, scanned in gray-scale with 50 microns size, 110 MRI images including of T1-Wighted, T...

متن کامل

Thyroid Cancer Cells Boundary Location by a Fuzzy Edge Detection Method

2. Obtain the gray-level gradient magnitude. 3. Derive the threshold surface by deforming the original image gray-level surface. 4. The threshold surface interpolation. 5. Segmentation based on the threshold surface. However, incomplete cells are still not detected reliably with this method. Double counting is sometimes occurred. In this paper, a Fuzzy Edge Detection Method is proposed. It is b...

متن کامل

Tlreshold Selection Method from Gray-Level Histograms

A nonparametric and unsupervised method ofautomatic threshold selection for picture segmentation is presented. An optimal threshold is selected by the discriminant criterion, namely, so as to maximize the separability of the resultant classes in gray levels. The procedure is very simple, utilizing only the zerothand the first-order cumulative moments of the gray-level histogram. It is straightf...

متن کامل

An Adaptive Threshold Method for Gray Scale Character Images

Gray-scale document images are binarized in order to perform optical character recognition (OCR). To perform this binarization, a variety of techniques have been proposed for performing threshold selection. Most of these are based on the intensity distribution of the image regions. However, when the spacing between two lines is very small, it is difficult to produce high quality characters usin...

متن کامل

Hierarchical Segmentation of Falsely Touching Characters from Camera Captured Degraded Document Images

An innovative hierarchical image segmentation scheme is reported in this research communication. Unlike static/ spatially divided sub-images, the current innovation concentrates on object level hierarchy for segmentation of gray scale or color images into constituent component/ sub-parts. As for example, a gray scale document image may be segmented (binarized in case of two-level segmentation) ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Pattern Recognition Letters

دوره 24  شماره 

صفحات  -

تاریخ انتشار 2003