文件名称:picture
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Text]
- 上传时间：
- 2012-11-26
- 文件大小：
- 4.81mb
- 下载次数：
- 0次
- 提 供 者：
- liuy****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
图像中扩大缩小最邻近算法、直方图图像化、平坦化-Expand the narrow image nearest algorithm, histogram of the image, flattening
(系统自动生成,下载前可以参看下载内容)
下载文件列表
图像处理
........\BMP图像提取像素值.txt
........\Params-h.txt
........\以数值与字母打印-c.txt
........\位置的移动-c.txt
........\去噪-中值滤波-c.txt
........\去噪-移动平均-C.txt
........\只复制被掩模区的图像数据-c.txt
........\扩大亮度范围-C.txt
........\扩大缩小NG法-c.txt
........\扩大缩小旋转移动线形插值-C.txt
........\扩大缩小最邻近法-C.txt
........\扩大缩小线形插值法-C.txt
........\把图像的亮度扩大N倍-C.txt
........\把直方图图像化.txt
........\把直方图平坦化.txt
........\把直方图平滑化-C.txt
........\提取具体某范围圆弧度连接成份的图像-C.txt
........\提取面积在某个范围内的连接成份-C.txt
........\收缩处理二值法.txt
........\旋转线形插值法-C.txt
........\检查特征参数-C.txt
........\求出图像的亮度范围-C.txt
........\求直方图-C.txt
........\用Hilditch法把二值图像细线化-C.txt
........\用Prewitt法提取轮廓-C.txt
........\用一阶微分提取轮廓-C.txt
........\用二阶微分提取轮廓-C.txt
........\膨胀处理二值图像-C.txt
........\调出BMP图像.txt
........\进行标签化-C.txt
........\透视变换-C.txt
........\阀值处理-C.txt
朋友
....\h_large_ASid_465a000044c42f74.jpg
....\h_large_bbvt_7a2d000010502f76.jpg
....\p_large_2yiW_640000085a9b5c70.jpg
....\p_large_a6DQ_5bbf000324465c70.jpg
....\p_large_aqx5_640000085b315c70.jpg
....\p_large_b46n_3b3700000d3c5c41.jpg
....\p_large_bWwN_5bc90004caa75c70.jpg
....\p_large_BXQd_439d0004d0995c73.jpg
....\p_large_cTLF_5bd3000692eb5c70.jpg
....\p_large_DrGx_6507000142125c40.jpg
....\p_large_eQY1_5bc90004cacd5c70.jpg
....\p_large_euni_640000085b5b5c70.jpg
....\p_large_FiNI_640000085a975c70.jpg
....\p_large_Ftbf_5bab000119885c70.jpg
....\p_large_gjDk_64f5000582c05c40.jpg
....\p_large_HdlK_3e5c00016ec85c71.jpg
....\p_large_IINC_5bbf000324285c70.jpg
....\p_large_Ip1s_64eb0003bb345c40.jpg
....\p_large_iqVS_085e0007f92e5c40.jpg
....\p_large_laO9_5bd3000693295c70.jpg
....\p_large_lUiW_5b4b00017cc15c44.jpg
....\p_large_NTWy_43a800078a9e5c74.jpg
....\p_large_qJik_3b2d00000bf35c41.jpg
....\p_large_QL5W_5bd3000693a65c70.jpg
....\p_large_qZzY_25c900001d035c3f.jpg
....\p_large_rFIl_5ba1000099495c70.jpg
....\p_large_tmBC_640000085b1f5c70.jpg
....\p_large_UGOl_5bc90004cadb5c70.jpg
....\p_large_UIhu_5bd3000693145c70.jpg
....\p_large_VGzr_3b4b000014375c41.jpg
....\p_large_XDF9_3b4b00002b5c5c41.jpg
....\p_large_XXJU_5bd3000693425c70.jpg
....\p_large_ylIt_3e4a000092625c71.jpg
....\p_large_z4uD_1d2b000271fd5c41.jpg
....\p_large_zPPf_640000085ab15c70.jpg
........\BMP图像提取像素值.txt
........\Params-h.txt
........\以数值与字母打印-c.txt
........\位置的移动-c.txt
........\去噪-中值滤波-c.txt
........\去噪-移动平均-C.txt
........\只复制被掩模区的图像数据-c.txt
........\扩大亮度范围-C.txt
........\扩大缩小NG法-c.txt
........\扩大缩小旋转移动线形插值-C.txt
........\扩大缩小最邻近法-C.txt
........\扩大缩小线形插值法-C.txt
........\把图像的亮度扩大N倍-C.txt
........\把直方图图像化.txt
........\把直方图平坦化.txt
........\把直方图平滑化-C.txt
........\提取具体某范围圆弧度连接成份的图像-C.txt
........\提取面积在某个范围内的连接成份-C.txt
........\收缩处理二值法.txt
........\旋转线形插值法-C.txt
........\检查特征参数-C.txt
........\求出图像的亮度范围-C.txt
........\求直方图-C.txt
........\用Hilditch法把二值图像细线化-C.txt
........\用Prewitt法提取轮廓-C.txt
........\用一阶微分提取轮廓-C.txt
........\用二阶微分提取轮廓-C.txt
........\膨胀处理二值图像-C.txt
........\调出BMP图像.txt
........\进行标签化-C.txt
........\透视变换-C.txt
........\阀值处理-C.txt
朋友
....\h_large_ASid_465a000044c42f74.jpg
....\h_large_bbvt_7a2d000010502f76.jpg
....\p_large_2yiW_640000085a9b5c70.jpg
....\p_large_a6DQ_5bbf000324465c70.jpg
....\p_large_aqx5_640000085b315c70.jpg
....\p_large_b46n_3b3700000d3c5c41.jpg
....\p_large_bWwN_5bc90004caa75c70.jpg
....\p_large_BXQd_439d0004d0995c73.jpg
....\p_large_cTLF_5bd3000692eb5c70.jpg
....\p_large_DrGx_6507000142125c40.jpg
....\p_large_eQY1_5bc90004cacd5c70.jpg
....\p_large_euni_640000085b5b5c70.jpg
....\p_large_FiNI_640000085a975c70.jpg
....\p_large_Ftbf_5bab000119885c70.jpg
....\p_large_gjDk_64f5000582c05c40.jpg
....\p_large_HdlK_3e5c00016ec85c71.jpg
....\p_large_IINC_5bbf000324285c70.jpg
....\p_large_Ip1s_64eb0003bb345c40.jpg
....\p_large_iqVS_085e0007f92e5c40.jpg
....\p_large_laO9_5bd3000693295c70.jpg
....\p_large_lUiW_5b4b00017cc15c44.jpg
....\p_large_NTWy_43a800078a9e5c74.jpg
....\p_large_qJik_3b2d00000bf35c41.jpg
....\p_large_QL5W_5bd3000693a65c70.jpg
....\p_large_qZzY_25c900001d035c3f.jpg
....\p_large_rFIl_5ba1000099495c70.jpg
....\p_large_tmBC_640000085b1f5c70.jpg
....\p_large_UGOl_5bc90004cadb5c70.jpg
....\p_large_UIhu_5bd3000693145c70.jpg
....\p_large_VGzr_3b4b000014375c41.jpg
....\p_large_XDF9_3b4b00002b5c5c41.jpg
....\p_large_XXJU_5bd3000693425c70.jpg
....\p_large_ylIt_3e4a000092625c71.jpg
....\p_large_z4uD_1d2b000271fd5c41.jpg
....\p_large_zPPf_640000085ab15c70.jpg