[图书][B] Image processing, analysis and machine vision

M Sonka, V Hlavac, R Boyle - 2013 - books.google.com
Image Processing, Analysis and Machine Vision represent an exciting part of modern
cognitive and computer science. Following an explosion of inter est during the Seventies …

A genetic algorithm based region sampling for selection of local features in handwritten digit recognition application

N Das, R Sarkar, S Basu, M Kundu, M Nasipuri… - Applied Soft …, 2012 - Elsevier
Identification of local regions from where optimal discriminating features can be extracted is
one of the major tasks in the area of pattern recognition. To locate such regions different kind …

End-to-end digitization of image format piping and instrumentation diagrams at an industrially applicable level

BC Kim, H Kim, Y Moon, G Lee… - Journal of Computational …, 2022 - academic.oup.com
This study proposes an end-to-end digitization method for converting piping and
instrumentation diagrams (P&IDs) in the image format to digital P&IDs. Automating this …

Deep-learning-based recognition of symbols and texts at an industrially applicable level from images of high-density piping and instrumentation diagrams

H Kim, W Lee, M Kim, Y Moon, T Lee, M Cho… - Expert Systems with …, 2021 - Elsevier
Piping and instrumentation diagrams (P&IDs) are commonly used in the process industry as
a transfer medium for the fundamental design of a plant and for detailed design, purchasing …

Features recognition from piping and instrumentation diagrams in image format using a deep learning network

ES Yu, JM Cha, T Lee, J Kim, D Mun - Energies, 2019 - mdpi.com
A piping and instrumentation diagram (P&ID) is a key drawing widely used in the energy
industry. In a digital P&ID, all included objects are classified and made amenable to …

OSSR-PID: one-shot symbol recognition in P&ID sheets using path sampling and GCN

S Paliwal, M Sharma, L Vig - 2021 International joint …, 2021 - ieeexplore.ieee.org
In this paper, we focus on recognition of line-drawn symbols in engineering drawings with
only one prototypical example per symbol available for training. In particular, Piping and …

Unconstrained handwritten digit recognition using perceptual shape primitives

KS Dash, NB Puhan, G Panda - Pattern Analysis and Applications, 2018 - Springer
In this paper, we propose a new handwritten digit recognition method which works in a very
similar way as human perception. The digit image boundary is decomposed into four salient …

Block decomposition and segmentation for fast Hough transform evaluation

SJ Perantonis, B Gatos, N Papamarkos - Pattern Recognition, 1999 - Elsevier
The decomposition of binary images using rectangular blocks of foreground pixels as
primitives is considered. Based on this type of decomposition, a fast method for evaluating …

低对比度图像分割算法研究

聂守平, 王鸣, 刘峰 - Chinese Journal of Lasers, 2004 - opticsjournal.net
摘要在分析图像分割算法的基础上, 针对灰度随机分布的低对比度图像, 提出采用空间区域方差
和灰度区域方差进行图像增强和灰度分区. 实验结果表明该方法能有效地实现低对比度图像的 …

A new shape decomposition scheme for graph-based representation

DH Kim, ID Yun, SU Lee - Pattern Recognition, 2005 - Elsevier
Nowadays, the part-based representation of a given shape plays a significant role in shape-
related applications, such as those involving content-based retrieval, object recognition, and …