An improved rotation-invariant thinning algorithm
نویسندگان
چکیده
منابع مشابه
A Rotation Invariant Rule-Based Thinning Algorithm for Character Recognition
This paper presents a novel rule-based system for thinning. The unique feature that distinguishes our thinning system is that it thins symbols to their central lines. This means that the shape of the symbol is preserved. It also means that the method is rotation invariant. The system has 20 rules in its inference engine. These rules are applied simultaneously to each pixel in the image. Therefo...
متن کاملAn Improved order independent parallel thinning algorithm for Image thinning
This paper addresses an order-independent parallel thinning algorithm. This algorithm is a two-pass, iterative and parallel processing. In pass-1 the entire image is thinned uniformly to two-pixel thick. In pass-2 the two-pixel thick image is further thinned to one pixel thick image without leaving any two pixels in the resultant image. The thinning process is based on weight-values. The weight...
متن کاملAn improved fully parallel 3D thinning algorithm
A 3D thinning algorithm erodes a 3D image layer by layer to extract the skeletons. This paper presents an improved fully parallel 3D thinning algorithm which extracts medial lines from a 3D image. This algorithm is based on Ma and Sonka’s thinning algorithm [16], which fails to preserve connectivity of 3D objects. We start with Ma and Sonka’s algorithm and examine its verification of connectivi...
متن کاملAn Improved Harris-SIFT Algorithm Based on Rotation-invariant LBP Operator
Feature-points matching is an important concept in binocular stereo vision. The procession of multi-scale feature-points matching in classical Harris-SIFT algorithm is time-consuming and has high complexity when describing the feature-points. This paper proposed a new improved Harris-SIFT algorithm based on rotation-invariant LBP (Local binary patterns) operator. Firstly, the Harris operator is...
متن کاملAn Improved Cost-Efficient Thinning Algorithm for Digital Image
Digital image processing plays an important role in our everevolving ubiquitous information society with an increasing need of automatic and efficient information collection. Thinning algorithms have been widely developed and applied in Optical Character Recognition (OCR) to eliminate the redundant data as well as keep the essential features of digital images. Inspired by the in-depth analysis ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2005
ISSN: 0162-8828
DOI: 10.1109/tpami.2005.191