Search - objective c

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[Special Effects] Fireball-Core DL : 0: Fireball.Core is class library developed with C#, with the objective to integrate an API that I need for my daily work, and as a base for my other open source libraries. In this article, I can only describe the FreeImage class, but on the Fireball.Core library there are some other classes presented as well.-Fireball.Core class library is developed with C#. with the objective to integrate an API that I nee d for my daily work. and as a base for my other open source libraries. In this article, I can only describe the FreeImage class, but on the Fireball.Core library there are some presented other classes as well.
Date : 2008-10-13 Size : 573.88kb User : Chen
[Special Effects] Fireball-Core DL : 0: Fireball.Core is class library developed with C#, with the objective to integrate an API that I need for my daily work, and as a base for my other open source libraries. In this article, I can only describe the FreeImage class, but on the Fireball.Core library there are some other classes presented as well.-Fireball.Core class library is developed with C#. with the objective to integrate an API that I nee d for my daily work. and as a base for my other open source libraries. In this article, I can only describe the FreeImage class, but on the Fireball.Core library there are some presented other classes as well.
Date : 2026-01-08 Size : 574kb User : Chen
[Special Effects] muhujuleituxiangfenge DL : 0: 算法目的：通过模糊c-均值（FCM）聚类实现图像的分割-Algorithm Objective: fuzzy c-means (FCM) clustering for image segmentation
Date : 2026-01-08 Size : 4kb User : 方明
[Special Effects] FASTCorner-V2-Private DL : 2: Fast Corner算法的实现，objective-c程序，可以编译通过，在ios设备上运行。参数可调。-Fast Corner algorithm implementation. Using objetive-c. It can be compiled and run on ios devices. The parameters of this algorithm could be adjusted.
Date : 2026-01-08 Size : 839kb User : 朱海超
[Special Effects] FuzzyClusteringToolbox DL : 0: 模糊C均值聚类是在HCM的基础上改进而来的，更能客观合理的对样本进行分类。-Fuzzy C-means clustering is improved on the basis of HCM, the more objective and reasonable to classify the samples.
Date : 2026-01-08 Size : 1.98mb User : 杰
[Special Effects] KWFLICM DL : 0: we present an improved fuzzy C-means (FCM) algorithm for image segmentation by introducing a tradeoff weighted fuzzy factor and a kernel metric. The tradeoff weighted fuzzy factor depends on the space distance of all neighboring pixels and their gray-level difference simultaneously. By using this factor, the new algorithm can accurately estimate the damping extent of neighboring pixels. In order to further enhance its robustness to noise and outliers, we introduce a kernel distance measure to its objective function. The new algorithm adaptively determines the kernel parameter by using a fast bandwidth selection rule based on the distance variance of all data points in the collection. Furthermore, the tradeoff weighted fuzzy factor and the kernel distance measure are both parameter free. Experimental results on synthetic and real images show that the new algorithm is effective and efficient, and is relatively independent of this type of noise.
Date : 2026-01-08 Size : 1kb User : 李蕾
[Special Effects] Interactive-Image-Segmentation DL : 0: 交互式图像分割，是根据Yuri Boykov and Marie-Pierre Jolly的文章，用C++和OpenCV实现的-Automatic image segmentation is a hard problem and, is not flexible enough to be used for general segmentation. The objective of this project is to implement an interactive image segmentation software based on Yuri Boykov and Marie-Pierre Jolly’s work on “Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D Images” (ICCV 2001)
Date : 2026-01-08 Size : 818kb User : xiaohai
[Special Effects] 21 DL : 0: 利用对数变换进行图像变换公式：x1=c*log(double(x)+1)(1.Image Enhancement Using Intensity Transformations The focus of this project is to experiment with intensity transformations to enhance an image. Download Fig. 3.8(a) and enhance it using (a) The log transformation of Eq. (3.2-2). (b) A power-law transformation of the form shown in Eq. (3.2-3). In (a) the only free parameter is c, but in (b) there are two parameters, c and r for which values have to be selected. As in most enhancement tasks, experimentation is a must. The objective of this project is to obtain the best visual enhancement possible with the methods in (a) and (b). Once (according to your judgment) you have the best visual result for each transformation, explain the reasons for the major differences between them.)
Date : 2026-01-08 Size : 33kb User : seayon
[Special Effects] UIColor+ColorChange DL : 0: UIColor的分类Category，颜色十六进制转UIColor(UIColor Category,Color hexadecimal to UIColor)
Date : 2026-01-08 Size : 1kb User : 欧币杰昔