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显著性区域检验

于 2019-10-16 发布

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下载积分: 1 下载次数: 10

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代码说明：

说明：对图像进行显著性增强，并且将显著新部分分割处理(The image is significantly enhanced and the significant new part is segmented)

文件列表：

显著性区域检验, 0 , 2019-10-16
显著性区域检验\Center_weight.m, 520 , 2019-10-04
显著性区域检验\distanceValueMap_search_onescale.m, 3123 , 2019-10-04
显著性区域检验\distanceValueMap_search_onescale_2.m, 3726 , 2019-10-04
显著性区域检验\gaussianSmooth.m, 655 , 2019-10-04
显著性区域检验\get4Scale.m, 1958 , 2019-10-04
显著性区域检验\Lab2RGB.m, 1544 , 2019-10-04
显著性区域检验\main.m, 1904 , 2019-10-04
显著性区域检验\pre_rgb2lab.m, 1314 , 2019-10-04
显著性区域检验\RGB2Lab.m, 1756 , 2019-10-04

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Video-Demo
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2013-08-11 20:39:39下载

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·外部图片自动保存在本地 ·自动控制上传图片和本地化图片尺寸 ·自动给上传及本地化图片添加水印 ·自动提取首张图片为缩略图 ·自动生成任意大小缩略图 ·幻灯片模式图片展示页 ·模板分离设计,轻松设计模板 ·方便自由的模板方法,可以实现复杂多样的调用效果 (External image automatically saved in local Automatically upload pictures and localization image size Automatically upload and localize the image to add watermark Automatic extraction of the first picture thumbnail Automatically generate thumbnails of any size. - picture slide show mode. - separation of design templates, easy design templates Convenient free template method, can realize the complex effect of call)

2016-04-18 11:44:07下载

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2012-11-20 12:00:33下载

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SAR成像中的RD算法是最经典的校正算法之一，提供的代码有详细的注释和说明，欢迎大家下载学习(RD SAR imaging algorithm is one of the most classical calibration algorithm, the code provided detailed notes and descriptions, are welcome to download the study。)

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对CANNY算子进行改进，其中详细的分析了CANNY算子的原理，已经应用改进的canny算子进行边缘检测，效果较好(CANNY operator improvements, including a detailed analysis of the principle of CANNY operator has been applied to improve the canny operator edge detection, better )

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2021-04-20 23:38:50下载

积分：1
Code自适应
传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)

2018-10-24 15:04:08下载

积分：1

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显著性区域检验

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