Line Extraction Using Image Carving

نویسندگان

  • Zhanggui Zeng
  • Hong Yan
چکیده

A line extraction method based on image carving is presented in this paper. The gradient magnitude of a pixel is taken as the point-importance of the pixel. The length of the line where the pixel lies, is considered as the lineimportance of the pixel. Iteratively, those pixels, whose point-importance value is less than an updated pointimportance threshold and whose line-importance value is less than an updated line-importance threshold, are carved off. In other cases, the pixels are preserved. A broken line can be identified and repaired using the gradient image of the last iteration. This method can extract “important” lines, remove “unimportant” ones, and repair broken ones.

برای دانلود رایگان 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

Improved Content Aware Image Retargeting Using Strip Partitioning

Based on rapid upsurge in the demand and usage of electronic media devices such as tablets, smart phones, laptops, personal computers, etc. and its different display specifications including the size and shapes, image retargeting became one of the key components of communication technology and internet. The existing techniques in image resizing cannot save the most valuable information of image...

متن کامل

Binarization-free Text Line Extraction for Historical Manuscripts

Nowadays, large collections of old historical manuscripts, which contain valuable information about our cultural heritage, exist in libraries around the world. Recently, there has been much interest in their digitization for preservation reasons, since many of the available manuscripts’ quality has deteriorated from exposure to the environment. Digitization though is only the first step to make...

متن کامل

Contours Extraction Using Line Detection and Zernike Moment

Most of the contour detection methods suffers from some drawbacks such as noise, occlusion of objects, shifting, scaling and rotation of objects in image which they suppress the recognition accuracy. To solve the problem, this paper utilizes Zernike Moment (ZM) and Pseudo Zernike Moment (PZM) to extract object contour features in all situations such as rotation, scaling and shifting of object i...

متن کامل

Content Aware Media Retargeting for still images using Seam Carving

ABSTRACT When changing height and width of image traditional techniques for image resizing are oblivious to the content of image. A simple operator seam carving is used for image and video retargeting. This seam carving operator is used for content aware image resizing to reduce or expand image size. According to seam carving method every object in the image must be scaled down proportionally. ...

متن کامل

Multi-seam carving via seamlets

Seam carving is a powerful retargeting algorithm for mapping images to arbitrary sizes with arbitrary aspect ratios. Meanwhile, the seamlet transform has been introduced as an efficient image representation for seam-carving-based retargeting over heterogeneous multimedia devices with a broad range of display sizes. The original seamlet transform was developed using Haar filters, and hence it en...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002