linear-filtering-andmedian-filtering

VC图像处理中阈值变换，计算图像面积等适合初学者，有一定的指导意义(VC image processing threshold transform, calculating image size suitable for beginners, must have guiding significance)

展示了汽车行业的应用案例。任务是利用标定的可变形匹配来定位不同方向和位置的车门(3D variable model matching)

说明：  图像融合可以用的PCNN工具箱，可以使用在图像融合里(PCNN Toolbox for Image Fusion)

数学形态学及相关算法的C语言实现实例 源代码调用OpenCV的cxcore和highgui两个库，应用C语言编写，实现对染色体图像中染色体数目的统计。代码中的核心算法为数学形态学的重要算法——开运算、闭运算（腐蚀和膨胀）。包含腐蚀处理、膨胀处理、自适应中值滤波、微分直方图法确定二值化阈值、种子填充算法等图像处理算法的C语言实现，值得参考。(Mathematical Morphology and related algorithms realize the C language source code examples of cxcore call OpenCV and highgui two libraries, the application of C language to realize pairs of chromosomes in the chromosome number of image statistics. The core algorithm code for an important mathematical morphology algorithms- open operation, closing operation (corrosion and expansion). Contains corrosion treatment, expansion of treatment, adaptive median filter, histogram method to determine differential binarization threshold, the seed fill algorithm, such as image processing algorithms realize the C language, it is also useful.)

说明：  对24位的彩色图像用中位切分(中位区分）法将其转换成8位索引图像，并且生成对应的颜色查找表。(median-cut algorithm,8-bit index map, lookup table,256 colors,)

这是双边滤波去噪的原始代码，挺好，可以下载( de-noising by Bilateral filtering,it is very good!)

图像处理中的图像分割grabcut算法，经试验可以达到很高的精确度，比较难，值得研究(Image Processing Image Segmentation grabcut algorithm, the test may be achieving a high degree of accuracy, more difficult, is worth studying)

多维尺度不变性的Ｃ＋＋实现，必须联合ＩＴＫ一起用，享受吧(Multi-dimensional scale invariance of the C to achieve, we must co-itk together, and enjoy it)

对图像进行处理，包括加遮挡，旋转，仿射变换，形状调整等等。(Image processing, including plus occlusion, rotation, affine transformation, the shape of the adjustment.)

数字图像质量评价量：计算数字图像在基于像素统计差异、基于相似性度量统计差异、基于频谱统计差异以及基于人眼视觉系统统计差异等的图像质量评价量(Digital image quality evaluation of the volume: calculating the number of images in the pixel-based statistical difference, similarity measure based on statistical differences, based on statistical difference spectrum, as well as human visual system based on statistical differences in image quality evaluation of the volume of)