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Today, multiple choice tests due to their benefits have become one of the most common methods to evaluate student's learning. In order to correct their answer sheets by the machines, very expensive equipment is necessary. Despite high correction accuracy of this method, because of some limitations, it's not suitable for public use such as schools. To overcome these limitations, attempts have been...
firstly, the skewed image of examination paper is corrected by Hough transform, and then mathematical morphology methods are used to locate the frame lines in table. Then connected component analysis is utilized to locate the form region based on maximum area feature. Finally the form frame line is removed according to the vertical gradient, and the answer image is achieved by analyzing the coordinates...
By analyzing the numerical characteristics of impulse noise images, in order to resolve spreading-noise problem resulted from dilating and eroding images base on mathematical morphology, an algorithm of dilating and eroding color impulse noise images based on mathematical morphology is proposed. The result of the experiment demonstrates that the new algorithm has same effect as traditional algorithm...
This paper presents conventional architecture of Optical Music Recognition (OMR), staff-lines detection is a key stage in OMR. It explains two major methods of staff-lines detection in detail, and it selects 68 images to experiment for the methods. The result of experiment indicates that two methods both can detect all staff-lines of an image by Hough Transform and Mathematical Morphology, but the...
Practical application of mathematical morphology contributes to simplifying image data, maintaining basic features of shape of an image, and removing irrelevant structure. On the other hand, OSSC (Open-source Software for Scientific Computation) provides essential elements, like matrix operations and image instant display, for establishing professional mathematical morphology toolbox. In this paper,...
A fast algorithm for local maximum and minimum filters is presented by Marcel van Herk, utilizing separability and recursive algorithms. In this paper, we put forward another improved algorithm based on Marcel van Herk's research. The new algorithm makes the comparison for each pixel in two auxiliary spaces without utilizing the original image space with the purpose of reducing the calculation for...
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