Description: 水准网平差的一些重要应用粗差探测网平差网优化序贯平误差椭圆-Level of some of the important applications Network Adjustment Gross Error Detection in Sequential net adjustment optimization level error ellipse Platform: |
Size: 70656 |
Author:licheng |
Hits:
Description: Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse. Platform: |
Size: 2048 |
Author:boss |
Hits:
Description: Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse. Platform: |
Size: 1024 |
Author:boss |
Hits:
Description: Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse. Platform: |
Size: 1024 |
Author:boss |
Hits:
Description: Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse. Platform: |
Size: 1024 |
Author:boss |
Hits:
Description: Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse. Platform: |
Size: 1024 |
Author:boss |
Hits:
Description: 基于hough变换瞳孔定位识别：使用灰度累加算子首先获得一个瞳孔内点，然后进行瞳孔分割、边缘检测、椭圆拟合，极端条件下也可实现瞳孔定位识别，鲁棒性很好-Based on the the hough transform pupil location identification: the use of gray-scale accumulation operator First a pupil within, and then split pupil, edge detection and ellipse fitting under extreme conditions can be realized pupil location identification, robustness is very good Platform: |
Size: 68608 |
Author:田 |
Hits:
Description: Hough检测直线,圆,椭圆的代码，用hough变换实现圆的检测，能完美检测出图像中的圆、直线和椭圆-Hough detection of straight line, circle, ellipse, code, hough transform circle detection can be perfect in the detected image of circles, lines and ellipses Platform: |
Size: 2048 |
Author:李文 |
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Description: 用于检测椭圆图形，得到椭圆五维参数。内附具体实例，并配有具体程序。-For the detection of elliptical pattern to get the five-dimensional ellipse parameters. Included specific examples, and with specific procedures. Platform: |
Size: 2256896 |
Author:黄凌霄 |
Hits:
Description: 基于ransac的椭圆检测，对于一组随机的椭圆点，可以得到椭圆参数，检测精度高。-Based ransac ellipse detection, for a group of random elliptic points, you can get an ellipse parameters, high detection accuracy. Platform: |
Size: 1024 |
Author:teresa |
Hits:
Search - Ellipse Detection