Image Vectorization

1997 ◽  
Author(s):  
Sergey V. Ablameyko
Keyword(s):  
Image Vectorization

Patch-based image vectorization with automatic curvilinear feature alignment

2009 ◽  
Vol 28 (5) ◽  
pp. 1-10 ◽  
Author(s):  
Tian Xia ◽  
Binbin Liao ◽  
Yizhou Yu
Keyword(s):  
Image Vectorization ◽  
Feature Alignment

Simplicity Driven Edge Refinement and Color Reconstruction in Image Vectorization

2021 ◽  
pp. 452-463
Author(s):  
Zheng Zhang ◽  
Junhao Zhao ◽  
Shiqing Xin ◽  
Shuangmin Chen ◽  
Yuanfeng Zhou ◽  
...  
Keyword(s):  
Image Vectorization

Field‐aligned Quadrangulation for Image Vectorization

2019 ◽  
Vol 38 (7) ◽  
pp. 171-180 ◽  
Author(s):  
Guangshun Wei ◽  
Yuanfeng Zhou ◽  
Xifeng Gao ◽  
Qian Ma ◽  
Shiqing Xin ◽  
...  
Keyword(s):  
Image Vectorization

DBSC-Based Grayscale Line Image Vectorization

2006 ◽  
Vol 21 (2) ◽  
pp. 244-248 ◽  
Author(s):  
Konstantin Melikhov ◽  
Feng Tian ◽  
Jie Qiu ◽  
Quan Chen ◽  
Hock Soon Seah
Keyword(s):  
Line Image ◽  
Image Vectorization

Research and Implementation of Remote Sensing Image Vectorization

2010 ◽  
Vol 439-440 ◽  
pp. 220-224
Author(s):  
Hai Yan Wu
Keyword(s):  
Remote Sensing ◽  
Data Collection ◽  
Collection Efficiency ◽  
Remote Sensing Image ◽  
Tracking Algorithm ◽  
Edge Enhancement ◽  
Boundary Tracking ◽  
Edge Tracking ◽  
Open Operation ◽  
Image Vectorization

Remote sensing image vectorization; edge enhancement; boundary tracking; Abstract. This paper researched and implemented remote sensing image vectorization process using semi-automated way. Remote sensing image can be vectored as the following five steps:vertical and horizontal edge enhancement, open operation, close operation, binarization, and finally the boundary tracking. The paper presented an improved tracking algorithm to avoid the shortcomings of traditional edge tracking algorithm. In our tracking algorithm, for image maps, we first use open operation and then use close operation to remove noise.This vectorization method changed the traditional data collection mode and improved data collection efficiency.

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