搜索资源列表
HTR
- Hough 变换的VC++实现,HOUGH变换广泛应用于直线及形状检测中,是模式识别不可或缺的内容-this is the implement of hough transform written in visual C++
shape-context-character-recognition
- 基于形状上下文字符识别(shape context)的原作者的代码-Vendor code based the shape context character recognition (shape context)
lser-radar
- 激光雷达是以发射激光束探测目标的位置、速度等特征量的雷达系统。从工作原理上讲,与微波雷达没有根本的区别:向目标发射探测信号(激光束),然后将接收到的从目标反射回来的信号(目标回波)与发射信号进行比较,作适当处理后,就可获得目标的有关信息,如目标距离、方位、高度、速度、姿态、甚至形状等参数,从而对飞机、导弹等目标进行探测、跟踪和识别。本程序为FMCW激光雷达matlab程序,包括调频非线性校正等。-Laser emitting a laser beam radar detection is the
asm
- 基于主动形状模型的人脸识别特征点征点标定,-Face recognition based on active shape models feature point calibration feature points,
vedio
- 目标检测与识别 1. 颜色检测 采集大量敌方机器人的图片数据,并进行训练,得到对方机器人的颜色区间, 并以此为阈值对整幅图像进行颜色检测,找到疑似敌方机器人的区域,量化 成二值图。 2. 滤除噪声点 对得到的二值图像进行开运算处理,滤除颜色检测结果中的噪声点。 3. 连通区域检测 对图像中的疑似区域进行连通区域检测,计算出每个疑似区域的外部轮廓, 用矩形近似表示。 4. 连通区域合并 根据连通区域之间的距离和颜色相似性,将距离接近且相似性高的连通区域
opencv几何形状识别
- 可以获取摄像头图像并且检测出图像轮廓,识别图像中不同形状。画出外轮廓并且用标签进行标记。(Camera images can be obtained and detected image contours, recognition of different shapes in the image. Draw outward contours and mark with labels.)
图像识别
- 基于STM32的图像识别。可识别简单的形状,如圆形,方形。(Image recognition based on STM32. A recognizable shape, such as a circle or a square.)
allstep
- 基于opencv的滤波、反色、边缘检测、形状匹配。(Opencv filtering, edge detection, color and shape matching based on.)
159.cpp
- 能识别多张图片中圆形轮廓的形状,可以快速识别比一般的Hough 圆检测快。(Recognizes the shape of a circular outline in multiple pictures to quickly identify faster detection than the average Hough circle.)
simulate
- 形状是由图像的轮廓形成的,所以理论上形状识别是通常在边缘或轮廓检测后的步骤。(edge_based_matching The shape is formed by the outline of the image, so theoretically the shape recognition is usually the step after the edge or contour detection)
zuoye
- 对图像进行分割,同时根据贝叶斯分类准则,对图像进行准确分类,可以分别识别各种图形的形状(The image is segmented, and the image is accurately classified according to Bias classification rule, and all kinds of shapes can be identified separately.)
4
- 设计采用DSP控制的采棉机图像识别与处理系统,该控制系统核心采用TI公司的DSP TMS320F28335,它根据棉花的形状和所处的位置信息,决定是否发出采摘信息,从而控制采摘的步进电机旋转,使采摘口能够绕采摘头轴线旋转360度动作,使采摘口智能寻棉,实现棉花的精准定位与快速准确采摘。(The design of a cotton picker image recognition and processing system controlled by DSP is designed. The c