Image Capturing and Segmentation Method for Characters Marked on Hot Billets

2014 ◽  
Vol 945-949 ◽  
pp. 1830-1836 ◽  
Author(s):  
Qi Jie Zhao ◽  
Peng Cao ◽  
Qing Xu Meng

Real-time detecting information marked on billets is important for automatically manufacturing and management in steelworks. But due to the tough production environments in steel enterprises, capturing and identifying characters marked on hot billets have many challenges. This paper presents a real-time image capturing and segmenting method with machine vision for characters marked on hot billets, and characters area is located based on color information of images. Furthermore, considering the marked characters are often slant, we proposed a kind of characters skew correction method to adjust the alignment of characters, and then segment characters into singles for recognition. Finally, with the proposed method, we have conducted some experiments in Baosteel Company. The result shows that our method can achieve 97% segmentation rate if we select proper image acquisition device and preprocessing algorithm. Additionally, it provides a new way for steel enterprise real-time capturing and segmenting marked characters image.

2019 ◽  
Vol 9 (11) ◽  
pp. 2225 ◽  
Author(s):  
Francesco Osti ◽  
Gian Maria Santi ◽  
Gianni Caligiana

In this paper, we present a solution for the photorealistic ambient light render of holograms into dynamic real scenes, in augmented reality applications. Based on Microsoft HoloLens, we achieved this result with an Image Base Lighting (IBL) approach. The real-time image capturing that has been designed is able to automatically locate and position directional lights providing the right illumination to the holograms. We also implemented a negative “shadow drawing” shader that contributes to the final photorealistic and immersive effect of holograms in real life. The main focus of this research was to achieve a superior photorealism through the combination of real-time lights placement and negative “shadow drawing” shader. The solution was evaluated in various Augmented Reality case studies, from classical ones (using Vuforia Toolkit) to innovative applications (using HoloLens).


2007 ◽  
Author(s):  
Toon-Joo Wee ◽  
Lekha Chaisorn ◽  
Susanto Rahardja ◽  
Woon-Seng Gan

2010 ◽  
Vol 42 ◽  
pp. 86-90
Author(s):  
Jing Li ◽  
Bo Wang ◽  
Dong Xing Zhang ◽  
Bao Liu

An inspection & sorting system of apple external quality has been developed according to the procedure of orientation first and image information capture followed. The system includes an orientation and conveyer set, a computer, a camera, a positioning sensor and apple image capturing and processing software. The orientation and conveyer set were used to realize the function of apple orientation while moving, and make different diameter apples rolling at the same revolution on rollers, so that more information and more accurate sorting results could be gotten. The mechanism adopts two cameras for apple image capture and apple quality will be inspected according to its one direct picture and four side pictures. The positioning sensor is used to inspect apple position and trigger the image capture card in time. The processing of images were carried out under Visual C++6.0 circumstance


2018 ◽  
Vol 7 (3.27) ◽  
pp. 132
Author(s):  
Anu Priya George ◽  
X Felix Joseph

Nowadays people working in industrial sectors face lot of problem like placing a valuable objects or things in some place unknowingly and searching it. To overcome this problem we are moving into the field of Object searching and identify which assist industrial sectors and research labs. Object searching mechanism is a challenging task. Real time object search poses many difficulties in recognizing objects. We are tending to do real time image capturing as well as recognizing techniques and it will forward data through Wi-Fi used in embedded device. The proposed system makes use of computer vision techniques based on real time image processing and recognizing the object and send via internet to PC.   


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