scholarly journals Binary Image Segmentation through the Carl Friedrich Gauss Equation

2018 ◽  
Vol 179 (41) ◽  
pp. 1-9
Author(s):  
Oppong-Twum Francis ◽  
Frimpong Twum ◽  
J. B.
2011 ◽  
Vol 103 ◽  
pp. 658-666
Author(s):  
Hideaki Kawano ◽  
Hideaki Orii ◽  
Hiroshi Maeda

In this paper, a method which specifies the signboard region and extracts the charactersinside the signboard is proposed.We usually take notes not to forget what we should leave to memory.But it is often that the task is too troublesome. Our aim is the development of a new input-interface soas to input texts froma picture.Most of signboards are composed of almostmonochromatic region. Onthe basis of this observation, image segmentation using color information is applied, and then we getsome binary images by applying threshold for each segmented region. Each binary image is enclosedby the smallest circumscribed square. The signboard region is specified according to distribution andarea of the white pixels inside the square. As a result of experiment, we confirmed the effectivenessof the proposed method.


2015 ◽  
Author(s):  
Xiao-bing Qiu ◽  
Yong Zhou ◽  
Li Lin

2012 ◽  
Vol 433-440 ◽  
pp. 128-132
Author(s):  
Pan Feng Guo ◽  
Yi Hong Wang

This paper research the algorithm after image segmentation based on using downsampling to preprocess the image and Otsu to segment the image, because defect region is weakened in the process of preprocessing to remove the texture, which lead to the defect region in the binary image can not reflect the original defect information. In view of this shortcoming, this paper put forward a new method to link the different connected regions which belong to a defect region and the new method solve the problem of weakening the defect region in the process of preprocessing, and then the integral information of defect region can be obtained. At last, the experiments’ results prove the validity of the arithmetic in this paper.


Author(s):  
Frank R. Schmidt ◽  
Lena Gorelick ◽  
Ismail Ben Ayed ◽  
Yuri Boykov ◽  
Thomas Brox

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