Detecting the Staff-Lines of Musical Score with Hough Transform and Mathematical Morphology

2010 ◽  
Author(s):  
Genfang Chen ◽  
Liyin Zhang ◽  
Wenjun Zhang ◽  
Qiuqiu Wang
Keyword(s):  
Mathematical Morphology ◽  
Hough Transform ◽  
Musical Score

Counting of Microscopic Cells Based on Grads Hough Transform

2011 ◽  
Vol 383-390 ◽  
pp. 7607-7612 ◽  
Author(s):  
Jian Jun Chen ◽  
Yi Jun Gao ◽  
Zhao Ju Deng
Keyword(s):  
Mathematical Morphology ◽  
Hough Transform ◽  
Boundary Tracking ◽  
Image Gradient ◽  
Gradient Information ◽  
Automatic Counting ◽  
Counting Methods

In order to improve the accuracy and efficiency of automatic counting of microscopic cells, the method based on the Hough transform has been proposed. And the standard Hough transform has been improved using image gradient information. Compared with the traditional counting methods based on mathematical morphology and boundary tracking tags, the accuracy of the counting accuracy has been greatly improved. The results show the accuracy and efficiency of counting of the microscopic cells based on grads Hough transform is improved.

MUSER: A prototype musical score recognition system using mathematical morphology

1993 ◽  
Vol 6 (2-3) ◽  
pp. 140-150 ◽  
Author(s):  
Bharath R. Modayur ◽  
Visvanathan Ramesh ◽  
Robert M. Haralick ◽  
Linda G. Shapiro
Keyword(s):  
Mathematical Morphology ◽  
Recognition System ◽  
Musical Score

IRIS LOCATION METHOD BASED ON MATHEMATICAL MORPHOLOGY AND IMPROVED HOUGH TRANSFORM

2020 ◽  
pp. 2150001
Author(s):  
Pan Mei-Sen ◽  
Xiong Qi
Keyword(s):  
Mathematical Morphology ◽  
Hough Transform ◽  
Outer Boundary ◽  
Binary Image ◽  
Connected Region ◽  
Canny Operator ◽  
Location Method ◽  
Iris Image ◽  
Boundary Method ◽  
Mean Filter

An iris location method based on mathematical morphology and improved Hough transform is proposed in this paper. When locating the iris inner boundary, an iris inner boundary method based on mathematical morphology and circle fitting is proposed. The iris image is first preprocessed to get a binary image by the gray stretch transform or the circular region mean filter, and then the type of the connected region selected as the iris inner boundary in the binary image is determined by the ratio of the width to the length. On the foundation, the different method is used to extract the parameters of the connected region and the iris inner boundary is obtained. When locating the iris outer boundary, an iris outer boundary method based on the improved Hough transform is put forward. First, the Gaussian filter is used to deal with the iris image, the filtered image is reduced, Canny operator is employed for edge detection, an annular region centered at the center of the iris inner boundary of the reduced image is cropped to explore a circle by Hough transform, and the center and the radius of the iris outer boundary are worked out. The experimental results reveal that this proposed method has the advantages of fast speed, high accuracy, strong robustness and practicability.

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