文件名称:RegionGrowing
下载
别用迅雷、360浏览器下载。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
介绍说明－－下载内容均来自于网络，请自行研究使用
region growing:
The fundamental drawback of histogram-based region detection is that histograms
provide no spatial information (only the distribution of gray levels).
- Region-growing approaches exploit the important fact that pixels which are close
together have similar gray values.
• Region growing
- Start with a single pixel (seed) and add new pixels slowly
(1) Choose the seed pixel
(2) Check the neighboring pixels and add them to the region if they are similar to-region growing:
The fundamental drawback of histogram-based region detection is that histograms
provide no spatial information (only the distribution of gray levels).
- Region-growing approaches exploit the important fact that pixels which are close
together have similar gray values.
• Region growing
- Start with a single pixel (seed) and add new pixels slowly
(1) Choose the seed pixel
(2) Check the neighboring pixels and add them to the region if they are similar to
The fundamental drawback of histogram-based region detection is that histograms
provide no spatial information (only the distribution of gray levels).
- Region-growing approaches exploit the important fact that pixels which are close
together have similar gray values.
• Region growing
- Start with a single pixel (seed) and add new pixels slowly
(1) Choose the seed pixel
(2) Check the neighboring pixels and add them to the region if they are similar to-region growing:
The fundamental drawback of histogram-based region detection is that histograms
provide no spatial information (only the distribution of gray levels).
- Region-growing approaches exploit the important fact that pixels which are close
together have similar gray values.
• Region growing
- Start with a single pixel (seed) and add new pixels slowly
(1) Choose the seed pixel
(2) Check the neighboring pixels and add them to the region if they are similar to
(系统自动生成,下载前可以参看下载内容)
下载文件列表
RegionGrowing.pdf