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2年前在学习图像算法的时候看到一个文档倾斜矫正的算法。 也就是说能将一些文档图像进行旋转矫正, 当然这个算法一般用于一些文档扫描软件做后处理 或者用于ocr 文字识别做前处理。 相关的关键词: 抗倾斜 反倾斜 Deskew 等等。 最简单算法实现思路,采用 霍夫变换(Hough Transform)进行直线检测, 当然也可以用霍夫变换检测圆。 在倾斜矫正算法中,自然就是检测直线。 通过对检测出来的直线进行角度判断, 一般取 认可度最高的几条直线进行计算, 最后求取均衡后的角度值。 进行图像角度的旋转即可。
大概算法步骤如下: 1.转换为灰度图 2.判断是否为文本图片,如果不是进行 进行 反相操作 3.检测直线,进行角度判断 4.通过角度进行图像旋转
这么一个基本思路,当然想要检测得更加精准, 可以做一些文本区域判断,图像修复增强之类的前处理操作。 最近有点强迫症犯了,开始回归本源,强迫自己用c语言来实现, fastsin以及fastcos 来自 arm公司的开源项目。 霍夫变换相关算法原理,请移步 百度 google 维基百科。 或直接看代码实现,可了悟于心。 有事没事,多看看业内大公司的开源项目, 萝卜白菜都有,重点是学习其思路。 嗯,有些网友可能会说,opencv一两行代码就可以做到了。 对的,一些sdk,api,开源框架一两句代码是做到了, 知道,用到,与真正做到,这是两条路。 我只想说一句,愿世界和平。 附完整代码: //如果是Windows的话,调用系统API ShellExecuteA打开图片 #if defined(_MSC_VER) #define _CRT_SECURE_NO_WARNINGS #include <windows.h> #define USE_SHELL_OPEN #endif #define STB_IMAGE_STATIC #define STB_IMAGE_IMPLEMENTATION #include "stb_image.h" //ref:https://github.com/nothings/stb/blob/master/stb_image.h #define TJE_IMPLEMENTATION #include "tiny_jpeg.h" //ref:https://github.com/serge-rgb/TinyJPEG/blob/master/tiny_jpeg.h #include <math.h> #include <io.h> #include <math.h> #include <stdlib.h> #include <stdbool.h> //计时 #include <stdint.h> #if defined(__APPLE__) # include <mach/mach_time.h> #elif defined(_WIN32) # define WIN32_LEAN_AND_MEAN # include <windows.h> #else // __linux # include <time.h> # ifndef CLOCK_MONOTONIC //_RAW # define CLOCK_MONOTONIC CLOCK_REALTIME # endif #endif static uint64_t nanotimer() { static int ever = 0; #if defined(__APPLE__) static mach_timebase_info_data_t frequency; if (!ever) { if (mach_timebase_info(&frequency) != KERN_SUCCESS) { return 0; } ever = 1; } return; #elif defined(_WIN32) static LARGE_INTEGER frequency; if (!ever) { QueryPerformanceFrequency(&frequency); ever = 1; } LARGE_INTEGER t; QueryPerformanceCounter(&t); return (t.QuadPart * (uint64_t)1e9) / frequency.QuadPart; #else // __linux struct timespec t; if (!ever) { if (clock_gettime(CLOCK_MONOTONIC, &spec) != 0) { return 0; } ever = 1; } clock_gettime(CLOCK_MONOTONIC, &spec); return (t.tv_sec * (uint64_t)1e9) + t.tv_nsec; #endif } static double now() { static uint64_t epoch = 0; if (!epoch) { epoch = nanotimer(); } return (nanotimer() - epoch) / 1e9; }; double calcElapsed(double start, double end) { double took = -start; return took + end; } //存储当前传入文件位置的变量 char saveFile[1024]; //加载图片 unsigned char * loadImage(const char *filename, int *Width, int *Height, int *Channels) { return stbi_load(filename, Width, Height, Channels, 0); } //保存图片 void saveImage(const char *filename, int Width, int Height, int Channels, unsigned char *Output) { memcpy(saveFile + strlen(saveFile), filename, strlen(filename)); *(saveFile + strlen(saveFile) + 1) = 0; //保存为jpg if (!tje_encode_to_file(saveFile, Width, Height, Channels, true, Output)) { fprintf(stderr, "写入 JPEG 文件失败.\n"); return; } #ifdef USE_SHELL_OPEN ShellExecuteA(NULL, "open", saveFile, NULL, NULL, SW_SHOW); #else //其他平台暂不实现 #endif } #ifndef ClampToByte #define ClampToByte( v ) ( ((unsigned)(int)(v)) <(255) ? (v) : ((int)(v) < 0) ? (0) : (255)) #endif #define M_PI 3.14159265358979323846f typedef struct cpu_HoughLine { float Theta; int Radius; int Intensity; float RelativeIntensity; } cpu_HoughLine; typedef struct cpu_rect { int x; int y; int Width; int Height; } cpu_rect; #ifndef clamp #define clamp(value,min,max) ((value) > (max )? (max ): (value) < (min) ? (min) : (value)) #endif #define FAST_MATH_TABLE_SIZE 512 const float sinTable_f32[FAST_MATH_TABLE_SIZE + 1] = { 0.00000000f, 0.01227154f, 0.02454123f, 0.03680722f, 0.04906767f, 0.06132074f, 0.07356456f, 0.08579731f, 0.09801714f, 0.11022221f, 0.12241068f, 0.13458071f, 0.14673047f, 0.15885814f, 0.17096189f, 0.18303989f, 0.19509032f, 0.20711138f, 0.21910124f, 0.23105811f, 0.24298018f, 0.25486566f, 0.26671276f, 0.27851969f, 0.29028468f, 0.30200595f, 0.31368174f, 0.32531029f, 0.33688985f, 0.34841868f, 0.35989504f, 0.37131719f, 0.38268343f, 0.39399204f, 0.40524131f, 0.41642956f, 0.42755509f, 0.43861624f, 0.44961133f, 0.46053871f, 0.47139674f, 0.48218377f, 0.49289819f, 0.50353838f, 0.51410274f, 0.52458968f, 0.53499762f, 0.54532499f, 0.55557023f, 0.56573181f, 0.57580819f, 0.58579786f, 0.59569930f, 0.60551104f, 0.61523159f, 0.62485949f, 0.63439328f, 0.64383154f, 0.65317284f, 0.66241578f, 0.67155895f, 0.68060100f, 0.68954054f, 0.69837625f, 0.70710678f, 0.71573083f, 0.72424708f, 0.73265427f, 0.74095113f, 0.74913639f, 0.75720885f, 0.76516727f, 0.77301045f, 0.78073723f, 0.78834643f, 0.79583690f, 0.80320753f, 0.81045720f, 0.81758481f, 0.82458930f, 0.83146961f, 0.83822471f, 0.84485357f, 0.85135519f, 0.85772861f, 0.86397286f, 0.87008699f, 0.87607009f, 0.88192126f, 0.88763962f, 0.89322430f, 0.89867447f, 0.90398929f, 0.90916798f, 0.91420976f, 0.91911385f, 0.92387953f, 0.92850608f, 0.93299280f, 0.93733901f, 0.94154407f, 0.94560733f, 0.94952818f, 0.95330604f, 0.95694034f, 0.96043052f, 0.96377607f, 0.96697647f, 0.97003125f, 0.97293995f, 0.97570213f, 0.97831737f, 0.98078528f, 0.98310549f, 0.98527764f, 0.98730142f, 0.98917651f, 0.99090264f, 0.99247953f, 0.99390697f, 0.99518473f, 0.99631261f, 0.99729046f, 0.99811811f, 0.99879546f, 0.99932238f, 0.99969882f, 0.99992470f, 1.00000000f, 0.99992470f, 0.99969882f, 0.99932238f, 0.99879546f, 0.99811811f, 0.99729046f, 0.99631261f, 0.99518473f, 0.99390697f, 0.99247953f, 0.99090264f, 0.98917651f, 0.98730142f, 0.98527764f, 0.98310549f, 0.98078528f, 0.97831737f, 0.97570213f, 0.97293995f, 0.97003125f, 0.96697647f, 0.96377607f, 0.96043052f, 0.95694034f, 0.95330604f, 0.94952818f, 0.94560733f, 0.94154407f, 0.93733901f, 0.93299280f, 0.92850608f, 0.92387953f, 0.91911385f, 0.91420976f, 0.90916798f, 0.90398929f, 0.89867447f, 0.89322430f, 0.88763962f, 0.88192126f, 0.87607009f, 0.87008699f, 0.86397286f, 0.85772861f, 0.85135519f, 0.84485357f, 0.83822471f, 0.83146961f, 0.82458930f, 0.81758481f, 0.81045720f, 0.80320753f, 0.79583690f, 0.78834643f, 0.78073723f, 0.77301045f, 0.76516727f, 0.75720885f, 0.74913639f, 0.74095113f, 0.73265427f, 0.72424708f, 0.71573083f, 0.70710678f, 0.69837625f, 0.68954054f, 0.68060100f, 0.67155895f, 0.66241578f, 0.65317284f, 0.64383154f, 0.63439328f, 0.62485949f, 0.61523159f, 0.60551104f, 0.59569930f, 0.58579786f, 0.57580819f, 0.56573181f, 0.55557023f, 0.54532499f, 0.53499762f, 0.52458968f, 0.51410274f, 0.50353838f, 0.49289819f, 0.48218377f, 0.47139674f, 0.46053871f, 0.44961133f, 0.43861624f, 0.42755509f, 0.41642956f, 0.40524131f, 0.39399204f, 0.38268343f, 0.37131719f, 0.35989504f, 0.34841868f, 0.33688985f, 0.32531029f, 0.31368174f, 0.30200595f, 0.29028468f, 0.27851969f, 0.26671276f, 0.25486566f, 0.24298018f, 0.23105811f, 0.21910124f, 0.20711138f, 0.19509032f, 0.18303989f, 0.17096189f, 0.15885814f, 0.14673047f, 0.13458071f, 0.12241068f, 0.11022221f, 0.09801714f, 0.08579731f, 0.07356456f, 0.06132074f, 0.04906767f, 0.03680722f, 0.02454123f, 0.01227154f, 0.00000000f, -0.01227154f, -0.02454123f, -0.03680722f, -0.04906767f, -0.06132074f, -0.07356456f, -0.08579731f, -0.09801714f, -0.11022221f, -0.12241068f, -0.13458071f, -0.14673047f, -0.15885814f, -0.17096189f, -0.18303989f, -0.19509032f, -0.20711138f, -0.21910124f, -0.23105811f, -0.24298018f, -0.25486566f, -0.26671276f, -0.27851969f, -0.29028468f, -0.30200595f, -0.31368174f, -0.32531029f, -0.33688985f, -0.34841868f, -0.35989504f, -0.37131719f, -0.38268343f, -0.39399204f, -0.40524131f, -0.41642956f, -0.42755509f, -0.43861624f, -0.44961133f, -0.46053871f, -0.47139674f, -0.48218377f, -0.49289819f, -0.50353838f, -0.51410274f, -0.52458968f, -0.53499762f, -0.54532499f, -0.55557023f, -0.56573181f, -0.57580819f, -0.58579786f, -0.59569930f, -0.60551104f, -0.61523159f, -0.62485949f, -0.63439328f, -0.64383154f, -0.65317284f, -0.66241578f, -0.67155895f, -0.68060100f, -0.68954054f, -0.69837625f, -0.70710678f, -0.71573083f, -0.72424708f, -0.73265427f, -0.74095113f, -0.74913639f, -0.75720885f, -0.76516727f, -0.77301045f, -0.78073723f, -0.78834643f, -0.79583690f, -0.80320753f, -0.81045720f, -0.81758481f, -0.82458930f, -0.83146961f, -0.83822471f, -0.84485357f, -0.85135519f, -0.85772861f, -0.86397286f, -0.87008699f, -0.87607009f, -0.88192126f, -0.88763962f, -0.89322430f, -0.89867447f, -0.90398929f, -0.90916798f, -0.91420976f, -0.91911385f, -0.92387953f, -0.92850608f, -0.93299280f, -0.93733901f, -0.94154407f, -0.94560733f, -0.94952818f, -0.95330604f, -0.95694034f, -0.96043052f, -0.96377607f, -0.96697647f, -0.97003125f, -0.97293995f, -0.97570213f, -0.97831737f, -0.98078528f, -0.98310549f, -0.98527764f, -0.98730142f, -0.98917651f, -0.99090264f, -0.99247953f, -0.99390697f, -0.99518473f, -0.99631261f, -0.99729046f, -0.99811811f, -0.99879546f, -0.99932238f, -0.99969882f, -0.99992470f, -1.00000000f, -0.99992470f, -0.99969882f, -0.99932238f, -0.99879546f, -0.99811811f, -0.99729046f, -0.99631261f, -0.99518473f, -0.99390697f, -0.99247953f, -0.99090264f, -0.98917651f, -0.98730142f, -0.98527764f, -0.98310549f, -0.98078528f, -0.97831737f, -0.97570213f, -0.97293995f, -0.97003125f, -0.96697647f, -0.96377607f, -0.96043052f, -0.95694034f, -0.95330604f, -0.94952818f, -0.94560733f, -0.94154407f, -0.93733901f, -0.93299280f, -0.92850608f, -0.92387953f, -0.91911385f, -0.91420976f, -0.90916798f, -0.90398929f, -0.89867447f, -0.89322430f, -0.88763962f, -0.88192126f, -0.87607009f, -0.87008699f, -0.86397286f, -0.85772861f, -0.85135519f, -0.84485357f, -0.83822471f, -0.83146961f, -0.82458930f, -0.81758481f, -0.81045720f, -0.80320753f, -0.79583690f, -0.78834643f, -0.78073723f, -0.77301045f, -0.76516727f, -0.75720885f, -0.74913639f, -0.74095113f, -0.73265427f, -0.72424708f, -0.71573083f, -0.70710678f, -0.69837625f, -0.68954054f, -0.68060100f, -0.67155895f, -0.66241578f, -0.65317284f, -0.64383154f, -0.63439328f, -0.62485949f, -0.61523159f, -0.60551104f, -0.59569930f, -0.58579786f, -0.57580819f, -0.56573181f, -0.55557023f, -0.54532499f, -0.53499762f, -0.52458968f, -0.51410274f, -0.50353838f, -0.49289819f, -0.48218377f, -0.47139674f, -0.46053871f, -0.44961133f, -0.43861624f, -0.42755509f, -0.41642956f, -0.40524131f, -0.39399204f, -0.38268343f, -0.37131719f, -0.35989504f, -0.34841868f, -0.33688985f, -0.32531029f, -0.31368174f, -0.30200595f, -0.29028468f, -0.27851969f, -0.26671276f, -0.25486566f, -0.24298018f, -0.23105811f, -0.21910124f, -0.20711138f, -0.19509032f, -0.18303989f, -0.17096189f, -0.15885814f, -0.14673047f, -0.13458071f, -0.12241068f, -0.11022221f, -0.09801714f, -0.08579731f, -0.07356456f, -0.06132074f, -0.04906767f, -0.03680722f, -0.02454123f, -0.01227154f, -0.00000000f }; inline float fastSin( float x) { float sinVal, fract, in; unsigned short index; float a, b; int n; float findex; in = x * 0.159154943092f; n = (int)in; if (x < 0.0f) { n--; } in = in - (float)n; findex = (float)FAST_MATH_TABLE_SIZE * in; if (findex >= 512.0f) { findex -= 512.0f; } index = ((unsigned short)findex) & 0x1ff; fract = findex - (float)index; a = sinTable_f32[index]; b = sinTable_f32[index + 1]; sinVal = (1.0f - fract)*a + fract*b; return (sinVal); } inline float fastCos( float x) { float cosVal, fract, in; unsigned short index; float a, b; int n; float findex; in = x * 0.159154943092f + 0.25f; n = (int)in; if (in < 0.0f) { n--; } in = in - (float)n; findex = (float)FAST_MATH_TABLE_SIZE * in; index = ((unsigned short)findex) & 0x1ff; fract = findex - (float)index; a = sinTable_f32[index]; b = sinTable_f32[index + 1]; cosVal = (1.0f - fract)*a + fract*b; return (cosVal); } void CPUImageGrayscaleFilter(unsigned char* Input, unsigned char* Output, int Width, int Height, int Stride) { int Channels = Stride / Width; const int B_WT = (int)(0.114 * 256 + 0.5); const int G_WT = (int)(0.587 * 256 + 0.5); const int R_WT = 256 - B_WT - G_WT; // int(0.299 * 256 + 0.5); int Channel = Stride / Width; if (Channel == 3) { for (int Y = 0; Y < Height; Y++) { unsigned char *LinePS = Input + Y * Stride; unsigned char *LinePD = Output + Y * Width; int X = 0; for (; X < Width - 4; X += 4, LinePS += Channel * 4) { LinePD[X + 0] = (B_WT * LinePS[0] + G_WT * LinePS[1] + R_WT * LinePS[2]) >> 8; LinePD[X + 1] = (B_WT * LinePS[3] + G_WT * LinePS[4] + R_WT * LinePS[5]) >> 8; LinePD[X + 2] = (B_WT * LinePS[6] + G_WT * LinePS[7] + R_WT * LinePS[8]) >> 8; LinePD[X + 3] = (B_WT * LinePS[9] + G_WT * LinePS[10] + R_WT * LinePS[11]) >> 8; } for (; X < Width; X++, LinePS += Channel) { LinePD[X] = (B_WT * LinePS[0] + G_WT * LinePS[1] + R_WT * LinePS[2]) >> 8; } } } else if (Channel == 4) { for (int Y = 0; Y < Height; Y++) { unsigned char *LinePS = Input + Y * Stride; unsigned char *LinePD = Output + Y * Width; int X = 0; for (; X < Width - 4; X += 4, LinePS += Channel * 4) { LinePD[X + 0] = (B_WT * LinePS[0] + G_WT * LinePS[1] + R_WT * LinePS[2]) >> 8; LinePD[X + 1] = (B_WT * LinePS[4] + G_WT * LinePS[5] + R_WT * LinePS[6]) >> 8; LinePD[X + 2] = (B_WT * LinePS[8] + G_WT * LinePS[9] + R_WT * LinePS[10]) >> 8; LinePD[X + 3] = (B_WT * LinePS[12] + G_WT * LinePS[13] + R_WT * LinePS[14]) >> 8; } for (; X < Width; X++, LinePS += Channel) { LinePD[X] = (B_WT * LinePS[0] + G_WT * LinePS[1] + R_WT * LinePS[2]) >> 8; } } } else if (Channel == 1) { if (Output != Input) { memcpy(Output, Input, Height* |
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