✦ LIBER ✦

Binary shape recognition using the morphological skeleton transform

✍ Scribed by P.E. Trahanias

Book ID: 107840348
Publisher: Elsevier Science
Year: 1992
Tongue: English
Weight: 670 KB
Volume: 25
Category: Article
ISSN: 0031-3203
DOI: 10.1016/0031-3203(92)90141-5

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Binary object representation and recogni

Binary object representation and recognition using the Hilbert morphological skeleton transform

✍ Essam A. El-Kwae; Mansur R. Kabuka 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 395 KB

Decomposition of geometric-shaped struct

Decomposition of geometric-shaped structuring elements using morphological transformations on binary images

✍ Frank Y. Shih; Hong Wu 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 678 KB

Shape description and recognition using

Shape description and recognition using the high order morphological pattern spectrum

✍ Zhou Xiaoqi; Yuan Baozong 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 473 KB

Morphological shape description using ge

Morphological shape description using geometric spectrum on multidimensional binary images

✍ Frank Y. Shih; Christopher C. Pu 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 460 KB

Morphological representation of 2-D bina

Morphological representation of 2-D binary shapes using rectangular components

✍ Jianning Xu 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 209 KB

The morphological skeleton transform is a shape representation scheme that decomposes a shape into a union of all maximal homothetics of a structuring element contained in the shape. In this paper, we develop an algorithm that generalizes the skeleton transform by allowing many di!erent rectangles o

Methods for fast morphological image tra

Methods for fast morphological image transforms using bitmapped binary images

✍ Rein van den Boomgaard; Richard van Balen 📂 Article 📅 1992 🏛 Elsevier Science ⚖ 727 KB

In this paper we present new implementations for morphological binary image processing on a general-purpose computer, using a bitmap representation of binary images instead of representing binary images as bitplanes inserted in gray value images. The bitmap data representation is a very efficient on