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LCD12864
- 12864串口液晶,包含两个文件:lcd.c与lcd.h. 调用 void printLCD(uint8 x,uint8 y,uint8 *fmt, ... ),即可将显示的字符串发送到液晶屏显示
mywavedec2
- 将规范化后的图像的数据格式由适合显示图像的uint8格式转换为适合数值处理的double格式，再调用二维小波分解函数进行图像分解，最后为了清晰地显示分解图像的塔式结构，在图像的相应区域绘制若干分界线。
红外接收
- 430红外接收 #include #include #include #include #include "xtype.h" #define IRDA (uint8)0x01 //P1_0 uint8 ifg; uint8 index=0,value; uint8 bitValue; ui
opencv to matlab
- cvlib_mex is a collection (over two dozens) of matlab callable routines from the the OpenCV library (www.intel.com/research/mrl/research/opencv/). OpenCV is a real time computer vision library with many image processin
opencv to matlab
- cvlib_mex is a collection (over two dozens) of matlab callable routines from the the OpenCV library (www.intel.com/research/mrl/research/opencv/). OpenCV is a real time computer vision library with many image processin
matlab函数
- cvlib_mex is a collection (over two dozens) of matlab callable routines from the the OpenCV library (www.intel.com/research/mrl/research/opencv/). OpenCV is a real time computer vision library with many image processin
LCD12864
- 12864串口液晶,包含两个文件:lcd.c与lcd.h. 调用 void printLCD(uint8 x,uint8 y,uint8 *fmt, ... ),即可将显示的字符串发送到液晶屏显示-12864 Serial LCD, contains two documents: lcd.c with lcd.h. call void printLCD (uint8 x, uint8 y, uint8* fmt, ...), can
mywavedec2
- 将规范化后的图像的数据格式由适合显示图像的uint8格式转换为适合数值处理的double格式，再调用二维小波分解函数进行图像分解，最后为了清晰地显示分解图像的塔式结构，在图像的相应区域绘制若干分界线。-To standardize image data formats suitable for display by the image is converted to uint8 format suitable for numerical
tx
- cc2430无线发射程序，发射一个数据帧，中断指示发送完毕-cc2430 Wireless launch procedures, launching a data fr a me, interrupted the instructions to send completed
lena
- lena图像的分解将规范化后的图像的数据格式由适合显示图像的uint8格式转换为适合数值处理的double格式，再调用二维小波分解函数进行图像分解，最后为了清晰地显示分解图像的塔式结构，在图像的相应区域绘制若干分界线。 -lena image after decomposition of the standardized image data format suitable for display by the image is c
Sobel
- 本代码是把二值图像转换成边缘检测图像国，是通过C语言和M语言混编的。-This code converts a BW image to an Edge Detected image in C with MEX. This code implements convolution with Sobel kernels to do the edge detection. I put this together for a school pro
imwritesc
- This function combines image rescaling and writing into the one function. If the image type is double image values are rescaled to the range 0-1 so that no overflow occurs when writing 8-bit intensity values. The image f
sd_test
- MMC_SD_SendCommand(uint8 cmd, uint32 arg)
ngray
- 自写M函数，做灰度图像的灰度级数及灰度范围的自定义设置。例如：将[0 255]的uint8图像变换成8级灰度的灰度范围为[0 7]图像或者[11.5 25.8]图像。 输出图像为double类，用户可将图像归一化后自行转换为所需类型。-This is a M function written by self, it can be used to rebuild a image with a given number of gray-
khalid_khuwaja
- Igray = rgb2gray(I) Ibw = im2bw(Igray,graythresh(Igray)) Iedge = edge(uint8(Ibw)) se = strel( square ,3) Iedge2 = imdilate(Iedge, se) Ifill= imfill(Iedge2, holes ) [Ilabel num] = bw
hsi2rgb
- 数据类型转换,int转换成uint8，比较适用-data change
LPC2103CLKInit
- LPC21003实时时钟中断程序 通过LED观察结果-void UART1_Init (void） void GPIO_init(UINT8 GPIO_num
output_of_DCT_in_image_fusion
- u can calculate DCT clc inp = imread( Im1.jpg ) inp1 = imread( Im2.jpg ) A = double(inp(:,:,1)) B = double(inp1(:,:,1)) A1=double(blkproc(A,[8 8], dct2 )) B1=double(blkproc(B,[8 8],
demosaicing
- a or b is not integer a = double(uint16(xx)) (a,b) is the base-dot b = double(uint16(yy)) x11 = double(I(a,b)) x11 <- I(a,b) x12 = double(I(a,b+1)) x12 <- I(a,b+1) x21 = double(I(a+1,b)) x21 <- I(a+1
mnist_uint8
- CNN卷积神经网络中mnist-uint8(deepLearnToolbox-master)