A Real-Time FPGA-based Solution for Binary Image Thinning

Image thinning is the most essential pre-processing technique that plays major role in image processing applications such as image analysis and pattern recognition. It is a process that reduces a thick binary image into thin skeleton. In the present paper we have used hybrid parallel thinning algorithm to obtain the skeleton of the binary image. The result skeleton contains one pixel width which preserves the topological properties and retains the connectivity.

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Efficient Binary Image Thinning Using Neighborhood Maps

Graphics Gems ◽

10.1016/b978-0-12-336156-1.50060-4 ◽

1994 ◽

pp. 465-473 ◽

Cited By ~ 16

Author(s):

Joseph M. Cychosz

Keyword(s):

Binary Image ◽

Image Thinning

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Extraction of a compact analytical data file from a complex binary image for use in real-time learning

10.1117/12.586922 ◽

2005 ◽

Author(s):

Chia-Lun J. Hu

Keyword(s):

Real Time ◽

Analytical Data ◽

Data File ◽

Binary Image

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A Hardware Acceleration Based Algorithm for Real-time Binary Image Connected-component Labeling

JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY ◽

10.3724/sp.j.1146.2010.00793 ◽

2011 ◽

Vol 33 (5) ◽

pp. 1069-1075 ◽

Cited By ~ 6

Author(s):

Fei Zhao ◽

Lu Zhang ◽

Zhi-yong Zhang ◽

Huan-zhang Lu

Keyword(s):

Real Time ◽

Hardware Acceleration ◽

Binary Image ◽

Connected Component ◽

Connected Component Labeling

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Research on Recognition Method of Handwritten Numerals Segmentation Based on B-P Neural Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.484-485.1001 ◽

2014 ◽

Vol 484-485 ◽

pp. 1001-1005

Author(s):

Ning Fang Wei

Keyword(s):

Character Recognition ◽

Recognition Rate ◽

Binary Image ◽

Code Number ◽

Digital Identification ◽

Recognition Ability ◽

Image Analyze ◽

Image Thinning ◽

Binarization Method ◽

Zip Code

We propose a binarization method based pigment in the ZIP code of 24 bmp image simulation and digital identification by CCD sensors, were extracted the grid binary image of zip code box and message of the two characters binary image; analyze the image processing, which includes code frame edge detection and separation of the image binarization, denoising smoothing, tilt correction, the extraction code number, position, normalization processing, digital image thinning , character recognition feature extraction. Through testing, the recognition rate of this method can be over 90%. The recognition time of characters for character is less than 1.3 second, which means the method is of more effective recognition ability and can better satisfy the real system requirements.

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Developed, binary, image processing in a dual-channel, optical, real-time morphological processor

Applied Optics ◽

10.1364/ao.36.005675 ◽

1997 ◽

Vol 36 (23) ◽

pp. 5675 ◽

Cited By ~ 4

Author(s):

Guoliang Huang ◽

Guofan Jin ◽

Minxian Wu ◽

Yingbai Yan

Keyword(s):

Image Processing ◽

Real Time ◽

Binary Image ◽

Dual Channel ◽

Binary Image Processing

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Research on Fast Capsule Image Segmentation Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.236-237.989 ◽

2012 ◽

Vol 236-237 ◽

pp. 989-993

Author(s):

Zheng Tao Zhu ◽

Bo Zhang ◽

Gang Yang

Keyword(s):

Image Segmentation ◽

Real Time ◽

Segmentation Algorithm ◽

Line Detection ◽

Uniform Region ◽

On Line ◽

Image Thinning ◽

Value Changes ◽

Time Image ◽

Enhancement Algorithm

In on-line inspection for products based on machine vision, contrast between product defects and background is not always stable because of the discrepancy of environment where images are captured and the type, batch and innate structure of products to be detected. To perform accurate detection, image is usually divided into several parts which are of same gray value and later on sub-blocks the analysis for defected region where sudden gray value changes are occurring. The crucial step here is to have accurate regional image segmentation. Traditional edge detection is unlikely to ensure its accuracy, and at the same time, complicated image segmentation algorithms are time-consuming and cannot meet needs of real-time manufacturing. Images captured during on-line detection is relatively stable in structure. A new real-time image fast segmentation algorithm is proposed in this dissertation. This algorithm, combining with use of local image enhancement algorithm, morphological operation of simple structural operators and image thinning technology, can accurately find regions boundry of uniform region. Later, on-line image segmentation can be fulfilled by means of simple addition and subtraction for regions. This algorithm has been successfully applied to on-line capsule inspection. Experiments show that it can satisfy the need of on-line detection both with speed and accuracy.

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Image-based extrusion with realistic surface wrinkles

Journal of Computational Design and Engineering ◽

10.1093/jcde/qwaa004 ◽

2020 ◽

Vol 7 (1) ◽

pp. 30-43

Author(s):

Anouar Ragragui ◽

Adnane Ouazzani Chahdi ◽

Akram Halli ◽

Khalid Satori

Keyword(s):

Real Time ◽

Time Synchronization ◽

Computer Graphic ◽

Visual Quality ◽

Scale Factor ◽

Binary Image ◽

Basic Form ◽

Bump Mapping ◽

The Real ◽

Image Based Modeling

Abstract Per-pixel extrusion mapping is an image-based modeling and rendering technique that can be used in a large variety of computer graphic applications. This technique makes it possible to create geometries without polygonal meshes by extrusion of a basic form stored in a 2D binary image. It is available in four versions: basic extrusion, outward extrusion, beveled extrusion, and chamfered extrusion, and all allow the production of satisfactory results in terms of interactivity or visual quality. The problem is that the extruded surfaces do not exhibit microrelief effects and have a lack of realistic superficial wrinkles. To solve this problem, we proposed in this paper a combination of the per-pixel extrusion mapping and the bump mapping in order to add a microrelief effect to extruded surfaces without changing the basic geometry. For the real-time synchronization between the depth scaling of the microreliefs and the resulting shading, we proposed to use a scale factor to further disturb the normal in a function of depths.

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