Description: 一种运用爬山算法彩色图像分割算法，参考文献"Salient RegionDetection and Segmentation"-Hill-Climbing Algorithm for Color Image Segmentation.Reference to "Salient RegionDetection and Segmentation" Platform: |
Size: 86016 |
Author:Y.Meng |
Hits:
Description: ICVS2008论文“Salient Region Detection and Segmentation”的源代码。-a code from "Salient Region Detection and Segmentation,"icvs,2008 Platform: |
Size: 1024 |
Author:zgk |
Hits:
Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 560128 |
Author:shailesh kochra |
Hits:
Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
Hits:
Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
Hits:
Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
Hits:
Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
Hits:
Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
Hits:
Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
Hits:
Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
Hits:
Description: 利用openv对图像进行分割和裁剪，选取自己感兴趣的区域-Use openv on image segmentation and tailoring, choose areas of interest to them
Platform: |
Size: 1719296 |
Author:岑君凯 |
Hits:
Description: “Salient Region Detection and Segmentation”文献的代码
-The code of "Salient Region Detection and Segmentation" Platform: |
Size: 40960 |
Author:songwenyang |
Hits:
Description: 基于OpenCV的图像显著区域检测分割算法,原作者是用MFC类库实现的,我把他改为用OpenCV实现，可以方便的加入自己的OpenCV项目中。具体原理和原代码请参见原作者网站：http://ivrg.epfl.ch/supplementary_material/RK_CVPR09/-OpenCV-based image segmentation algorithm salient region detection, the author is using MFC class library, and I took him to using OpenCV, you can easily add your own OpenCV project. Specific principles and the author of the original code, see website Platform: |
Size: 12562432 |
Author:huangbin |
Hits:
Description: This work introduces two variants of unsupervised color segmentation methods. The underlying idea is to segment the input image several times, each time focussing on a different salient part of the image and to subsequently merge all obtained results into one composite segmentation. As a first step salient parts have to be identified in the image, which is done by a simple local color clustering approach. Platform: |
Size: 23173120 |
Author:chandu |
Hits:
Search - salient segmentation