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I WANT SOURCE CODE FOR IMAGE SEGMENTATION

通过对二维人脸图片的特征提取进行三维人脸的重建(Through the two-dimensional face image feature extraction for three-dimensional reconstruction of human faces)

图像的检测消失点，运用到边沿检测，霍夫变换等(vanishing point detection)

共厄梯度方法!!!本程序适用于求解形如f(x)=1/2*x Ax+bx+c二次函数的稳定点； (total Eritrea gradient method! ! ! The procedure will be applicable to solve the shape of f (x) = 1/2* x Ax bx c quadratic Function stability;)

实验证明，本方案对于帧间位移较为明显的单个平移运动刚体，特别是外部轮廓较为平滑的物体具有良好的分割与跟踪效果。(experiment proved that the program for the inter-frame displacement is quite obvious that the single translation rigid movement, particularly smooth external contours of objects more good segmentation and tracking results.)

对测井曲线进行重构的程序，可以充分利用测井特征曲线所反应的岩性特征信息，完成多信息的融合(Log curve reconstruction procedures)

MSER代码，实现最大稳定极值区域提取，经测试可用(The MSER code to achieve maximum stable extremal region extraction)

实现了图像的灰度化并进一步用于视频监视控，一些自适应信号处理的算法，计算加权加速度。( Achieve a grayscale image and further control for video surveillance, Some adaptive signal processing algorithms, Weighted acceleration.)

一种可适用于复杂光照环境的低照度图像增强算法，即基于内容感知的自适应对比度提高的增强算法。引入了改进的伽马矫正，可以根据低照度图像的明暗程度自适应的对图像进行预处理。在实验过程中还发现，虽然改进算法有效避免引入大量噪声，但仍有少量噪声存在，为了达到更好的视觉效果，利用改进的双边滤波对增强的图像进行处理，获得最后的增强图像。实验效果显示，该算法可对低照度图像实现理想的增强效果。(A can be applied to complex light environment of low illumination image enhancement algorithm, which based on the content of perception adaptive contrast enhancement algorithm. Introduced the improvement of gamma correction, can according to the low illumination image of light and shade degree adaptive to image preprocessing. In the process of experiment also found that although the improved algorithm effectively avoid introducing a lot of noise, but there still have a small amount of noise, in order to achieve better visual effect, use of improved bilateral filtering to enhance the image processing, finally enhance image. The experimental results showed that the algorithm can achieve a low illumination image enhancement effect. )

多聚焦图像融合，将两张到六张不同焦点的图片合成成一张。(Multi-focus image fusion, will be the focus of two to six different images into a synthesis.)