Search - partition problem

Search - partition problem - List

[Special Effects] tuxintuizhifenge DL : 0: 针对类圆形堆积物图像的前景和背景在色彩或灰度上相近，难以用传统阈值分割等算法进行有效分割的问题，提出一种多方法融合的类圆形堆积物图像区域分割策略。对图像进行滤波等一系列预分割处理后进行投影得到目标图像的外接矩形区域，以排除噪声的干扰，在区域内采用改进的灰度共生矩阵方法进行粗分割，以解决窗口大小与分割精度的问题，采用二维OTSU 阈值分割方法对粗分割结果进行量化。实验结果表明，该方法得到的区域分割结果边缘清晰、准确度高。-Round deposits for the prospect of images and background color or grayscale at up close, it is difficult using traditional threshold segmentation algorithm, such as the effective partition of the problem, a method of integration of many types of deposits circular image region segmentation strategy. Image filtering deal with a series of pre-partition after the target image projection external rectangular area in order to rule out the possibility of noise interference, in the region to adopt improved methods of co-occurrence matrix gray coarse segmentation to solve the window size and segmentation accuracy problem, using two-dimensional OTSU threshold segmentation method to quantify the coarse segmentation results. Experimental results show that the method of region segmentation results of the edge of a clear, high accuracy.
Date : 2026-01-02 Size : 138kb User : 子登
[Special Effects] work DL : 0: 针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。-For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into blocks the size of the window, and then sub-block feature vector extraction unit, using FCM clustering coarse partition, and then block on the edge, in pixels from the new Feature Extraction, for fine segmentation. Improve the segmentation results after the speed and accuracy of segmentation.
Date : 2026-01-02 Size : 2.94mb User : 殷皓君
[Special Effects] aghbari_ivc_2006 DL : 0: 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.
Date : 2026-01-02 Size : 547kb User : shailesh kochra
[Special Effects] Untitled2 DL : 0: 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.
Date : 2026-01-02 Size : 1kb User : shailesh kochra
[Special Effects] Untitled3 DL : 0: 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.
Date : 2026-01-02 Size : 1kb User : shailesh kochra
[Special Effects] DDD DL : 0: 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.
Date : 2026-01-02 Size : 1kb User : shailesh kochra
[Special Effects] gaborexamples3122 DL : 0: 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.
Date : 2026-01-02 Size : 1kb User : shailesh kochra
[Special Effects] gabordescriptor4545 DL : 0: 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.
Date : 2026-01-02 Size : 1kb User : shailesh kochra
[Special Effects] Image-GaborFilter2 DL : 0: 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.
Date : 2026-01-02 Size : 1kb User : shailesh kochra
[Special Effects] gaborf DL : 0: 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.
Date : 2026-01-02 Size : 1kb User : shailesh kochra
[Special Effects] tracking DL : 0: 图像处理,本文主要用于运动目标的检测,主要解决的问题是如何将运动目标分割出来.-Image processing, this paper is mainly used for moving target detection, the main problem is how to exercise the target partition.
Date : 2026-01-02 Size : 1kb User : zuoan
[Special Effects] 分散递阶蚁群算法及其在相变序列图像分割中的应用 DL : 0: 提出了一种分散、递阶蚁群算法, 它将多个分散的蚁群并行求解各自对应的子问题, 形成一个执行层, 而递阶协调层利用执行层反馈的信息协调执行层的优化过程,从而得到递阶求解问题的整体最优解. 该算法已应用于相变热图序列图像模糊相变线的提取问题,即运用区域划分方法先将序列图像的分割转化为关联型多子图搜索问题,再利用分散、递阶蚁群算法进行求解 ,结果表明该算法能很好地利用相变线的运动信息成功地解决热相变序列图像分割问题. 与蚁群算法独立搜索比较 ,分散、递阶蚁群算法能更有效地实现多子图之间的关联.(A class of decentralized and hierarchical ant colony optimization is presented , in which the sub- problem is solved by multiple decentralized ant colonies side by side to form an execute level. The optimization process of the execute level is coordinated in the hierarchical coordination level with the feedback information from the execute level to obtain the general optimal solution of the hierarchical solving pro blem. The algorithm is applied to the extraction problem of fuzzy phase change lines of phase change thermograph sequences , where the sequences image segment is transformed into search problems of associated multiple sub- images by region partition method, then solved by decentralized and hierarchical ant colony algorithm. The simulation results show that the moving information of phase change lines can be utilized well to solve the segment problem of phase change thermograph by the proposed algorithm.)
Date : 2026-01-02 Size : 501kb User : Janet1023