CN105205485A - 基于多类类间最大方差算法的大尺度图像分割算法 - Google Patents
基于多类类间最大方差算法的大尺度图像分割算法 Download PDFInfo
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- CN105205485A CN105205485A CN201510577267.1A CN201510577267A CN105205485A CN 105205485 A CN105205485 A CN 105205485A CN 201510577267 A CN201510577267 A CN 201510577267A CN 105205485 A CN105205485 A CN 105205485A
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- 238000003709 image segmentation Methods 0.000 title claims abstract description 9
- 230000011218 segmentation Effects 0.000 claims abstract description 21
- 238000000034 method Methods 0.000 claims abstract description 18
- 238000000638 solvent extraction Methods 0.000 claims description 15
- 239000002245 particle Substances 0.000 claims description 6
- 238000005036 potential barrier Methods 0.000 claims description 5
- 238000005457 optimization Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
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- 230000007547 defect Effects 0.000 abstract 1
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- 235000013339 cereals Nutrition 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
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- 238000005259 measurement Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106846341A (zh) * | 2017-02-20 | 2017-06-13 | 广东工业大学 | 一种船体复杂外板点云区域生长阈值确定方法及装置 |
CN113221737A (zh) * | 2021-05-11 | 2021-08-06 | 杭州海康威视数字技术股份有限公司 | 一种物料信息的确定方法、装置、设备及存储介质 |
CN116609332A (zh) * | 2023-07-20 | 2023-08-18 | 佳木斯大学 | 新型组织胚胎病理切片全景扫描*** |
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US20050232506A1 (en) * | 2004-04-19 | 2005-10-20 | Smith R T | Enhancing images superimposed on uneven or partially obscured background |
US20090123070A1 (en) * | 2007-11-14 | 2009-05-14 | Itt Manufacturing Enterprises Inc. | Segmentation-based image processing system |
CN101571419A (zh) * | 2009-06-15 | 2009-11-04 | 浙江大学 | 采用图像分割的汽车仪表led指示灯自动检验方法 |
CN102622598A (zh) * | 2012-01-13 | 2012-08-01 | 西安电子科技大学 | 基于区域标记与灰度统计的sar图像目标检测方法 |
CN103606152A (zh) * | 2013-11-15 | 2014-02-26 | 大连理工大学 | 基于sift特征点聚类及布尔差运算的dsa血管图像分割方法 |
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2015
- 2015-09-11 CN CN201510577267.1A patent/CN105205485B/zh active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050232506A1 (en) * | 2004-04-19 | 2005-10-20 | Smith R T | Enhancing images superimposed on uneven or partially obscured background |
US20090123070A1 (en) * | 2007-11-14 | 2009-05-14 | Itt Manufacturing Enterprises Inc. | Segmentation-based image processing system |
CN101571419A (zh) * | 2009-06-15 | 2009-11-04 | 浙江大学 | 采用图像分割的汽车仪表led指示灯自动检验方法 |
CN102622598A (zh) * | 2012-01-13 | 2012-08-01 | 西安电子科技大学 | 基于区域标记与灰度统计的sar图像目标检测方法 |
CN103606152A (zh) * | 2013-11-15 | 2014-02-26 | 大连理工大学 | 基于sift特征点聚类及布尔差运算的dsa血管图像分割方法 |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106846341A (zh) * | 2017-02-20 | 2017-06-13 | 广东工业大学 | 一种船体复杂外板点云区域生长阈值确定方法及装置 |
CN113221737A (zh) * | 2021-05-11 | 2021-08-06 | 杭州海康威视数字技术股份有限公司 | 一种物料信息的确定方法、装置、设备及存储介质 |
CN113221737B (zh) * | 2021-05-11 | 2023-09-05 | 杭州海康威视数字技术股份有限公司 | 一种物料信息的确定方法、装置、设备及存储介质 |
CN116609332A (zh) * | 2023-07-20 | 2023-08-18 | 佳木斯大学 | 新型组织胚胎病理切片全景扫描*** |
CN116609332B (zh) * | 2023-07-20 | 2023-10-13 | 佳木斯大学 | 新型组织胚胎病理切片全景扫描*** |
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