some bugs fixed

This commit is contained in:
2021-10-18 17:24:03 +03:00
parent 81c94bcd1e
commit 68449bef89
30 changed files with 577 additions and 551 deletions

View File

@@ -22,7 +22,6 @@
#include <sys/types.h>
#include <sys/stat.h>
#include <unistd.h>
#include <usefull_macros.h>
#include <stb/stb_image.h>
#include <stb/stb_image_write.h>
@@ -31,7 +30,9 @@
#include "cameracapture.h"
#include "cmdlnopts.h"
#include "config.h"
#include "debug.h"
#include "draw.h"
#include "fits.h"
#include "grasshopper.h"
#include "imagefile.h"
#include "median.h"
@@ -68,6 +69,11 @@ static char *hexdmp(const char sig[8]){
}
#endif
/**
* @brief imtype - check image type of given file
* @param f - opened image file structure
* @return image type or T_WRONG
*/
static InputType imtype(FILE *f){
char signature[8];
int x = fread(signature, 1, 7, f);
@@ -122,37 +128,22 @@ InputType chkinput(const char *name){
return tp;
}
Image *u8toImage(uint8_t *data, int width, int height, int stride){
/**
* @brief u8toImage - convert uint8_t data to Image structure (flipping upside down for FITS coordinates)
* @param data - original image data
* @param width - image width
* @param height - image height
* @param stride - image width with alignment
* @return Image structure (fully allocated, you can FREE(data) after it)
*/
Image *u8toImage(const uint8_t *data, int width, int height, int stride){
FNAME();
Image *outp = MALLOC(Image, 1);
outp->width = width;
outp->height = height;
outp->dtype = FLOAT_IMG;
/*
int histogram[256] = {0};
int wh = width*height;
#pragma omp parallel
{
int histogram_private[256] = {0};
#pragma omp for nowait
for(int i = 0; i < wh; ++i){
++histogram_private[data[i]];
}
#pragma omp critical
{
for(int i=0; i<256; ++i) histogram[i] += histogram_private[i];
}
}
red("HISTO:\n");
for(int i = 0; i < 256; ++i) printf("%d:\t%d\n", i, histogram[i]);
*/
outp->data = MALLOC(Imtype, width*height);
Image *outp = Image_new(width, height);
// flip image updown for FITS coordinate system
OMP_FOR()
for(int y = 0; y < height; ++y){
Imtype *Out = &outp->data[(height-1-y)*width];
uint8_t *In = &data[y*stride];
const uint8_t *In = &data[y*stride];
for(int x = 0; x < width; ++x){
*Out++ = (Imtype)(*In++);
}
@@ -161,15 +152,21 @@ Image *u8toImage(uint8_t *data, int width, int height, int stride){
return outp;
}
// load other image file
static Image *im_load(const char *name){
/**
* @brief im_load - load image file
* @param name - filename
* @return Image structure or NULL
*/
static inline Image *im_load(const char *name){
int width, height, channels;
uint8_t *img = stbi_load(name, &width, &height, &channels, 1);
if(!img){
WARNX("Error in loading the image %s\n", name);
return NULL;
}
return u8toImage(img, width, height, width);
Image *I = u8toImage(img, width, height, width);
free(img);
return I;
}
/**
@@ -199,6 +196,7 @@ Image *Image_read(const char *name){
* @return data allocated here
*/
Image *Image_new(int w, int h){
if(w < 1 || h < 1) return NULL;
Image *outp = MALLOC(Image, 1);
outp->width = w;
outp->height = h;
@@ -213,24 +211,99 @@ Image *Image_new(int w, int h){
*/
Image *Image_sim(const Image *i){
if(!i) return NULL;
if((i->width * i->height) < 1) return NULL;
Image *outp = Image_new(i->width, i->height);
outp->dtype = i->dtype;
return outp;
}
/**
* @brief linear - linear transform (mirror image upside down!)
* @brief get_histogram - calculate image histogram
* @param I - orig
* @return
*/
size_t *get_histogram(const Image *I){
if(!I || !I->data) return NULL;
size_t *histogram = MALLOC(size_t, 256);
int wh = I->width * I->height;
#pragma omp parallel
{
size_t histogram_private[256] = {0};
#pragma omp for nowait
for(int i = 0; i < wh; ++i){
++histogram_private[I->data[i]];
}
#pragma omp critical
{
for(int i = 0; i < 256; ++i) histogram[i] += histogram_private[i];
}
}
return histogram;
}
/**
* @brief calc_background - Simple background calculation by histogram
* @param img (i) - input image (here will be modified its top2proc field)
* @param bk (o) - background value
* @return 0 if error
*/
int calc_background(const Image *img, Imtype *bk){
if(!img || !img->data || !bk) return FALSE;
if(img->maxval == img->minval){
WARNX("Zero or overilluminated image!");
return FALSE;
}
if(theconf.fixedbkg){
if(theconf.fixedbkg > img->minval){
WARNX("Image values too small");
return FALSE;
}
*bk = theconf.fixedbkg;
return TRUE;
}
size_t *histogram = get_histogram(img);
size_t modeidx = 0, modeval = 0;
for(int i = 0; i < 256; ++i)
if(modeval < histogram[i]){
modeval = histogram[i];
modeidx = i;
}
//DBG("Mode=%g @ idx%d (N=%d)", ((Imtype)modeidx / 255.)*ampl, modeidx, modeval);
ssize_t diff2[256] = {0};
for(int i = 2; i < 254; ++i) diff2[i] = (histogram[i+2]+histogram[i-2]-2*histogram[i])/4;
//green("HISTO:\n");
//for(int i = 0; i < 256; ++i) printf("%d:\t%d\t%d\n", i, histogram[i], diff2[i]);
FREE(histogram);
if(modeidx < 2) modeidx = 2;
if(modeidx > 253){
WARNX("Overilluminated image");
return FALSE; // very bad image: overilluminated
}
size_t borderidx = modeidx;
for(int i = modeidx; i < 254; ++i){ // search bend-point by second derivate
if(diff2[i] <= 0 && diff2[i+1] <= 0){
borderidx = i; break;
}
}
//DBG("borderidx=%d -> %d", borderidx, (borderidx+modeidx)/2);
//*bk = (borderidx + modeidx) / 2;
*bk = borderidx;
return TRUE;
}
/**
* @brief linear - linear transform for preparing file to save as JPEG or other type (mirror image upside down!)
* @param I - input image
* @param nchannels - 1 or 3 colour channels
* @return allocated here image for jpeg/png storing
*/
uint8_t *linear(const Image *I, int nchannels){ // only 1 and 3 channels supported!
if(nchannels != 1 && nchannels != 3) return NULL;
if(!I || !I->data || (nchannels != 1 && nchannels != 3)) return NULL;
int width = I->width, height = I->height;
size_t stride = width*nchannels, S = height*stride;
uint8_t *outp = MALLOC(uint8_t, S);
Imtype min = I->minval, max = I->maxval, W = 255./(max - min);
float min = (float)I->minval, max = (float)I->maxval, W = 255./(max - min);
//DBG("make linear transform %dx%d, %d channels", I->width, I->height, nchannels);
if(nchannels == 3){
OMP_FOR()
@@ -238,7 +311,7 @@ uint8_t *linear(const Image *I, int nchannels){ // only 1 and 3 channels support
uint8_t *Out = &outp[(height-1-y)*stride];
Imtype *In = &I->data[y*width];
for(int x = 0; x < width; ++x){
Out[0] = Out[1] = Out[2] = (uint8_t)(W*((*In++) - min));
Out[0] = Out[1] = Out[2] = (uint8_t)(W*((float)(*In++) - min));
Out += 3;
}
}
@@ -248,7 +321,7 @@ uint8_t *linear(const Image *I, int nchannels){ // only 1 and 3 channels support
uint8_t *Out = &outp[(height-1-y)*width];
Imtype *In = &I->data[y*width];
for(int x = 0; x < width; ++x){
*Out++ = (uint8_t)(W*((*In++) - min));
*Out++ = (uint8_t)(W*((float)(*In++) - min));
}
}
}
@@ -263,24 +336,19 @@ uint8_t *linear(const Image *I, int nchannels){ // only 1 and 3 channels support
* @return allocated here image for jpeg/png storing
*/
uint8_t *equalize(const Image *I, int nchannels, double throwpart){
if(nchannels != 1 && nchannels != 3) return NULL;
if(!I || !I->data || (nchannels != 1 && nchannels != 3)) return NULL;
int width = I->width, height = I->height;
size_t stride = width*nchannels, S = height*stride;
uint8_t *lin = linear(I, 1);
if(!lin) return NULL;
size_t *orig_histo = get_histogram(I); // original hystogram (linear)
if(!orig_histo) return NULL;
uint8_t *outp = MALLOC(uint8_t, S);
int orig_hysto[256] = {0}; // original hystogram (linear)
uint8_t eq_levls[256] = {0}; // levels to convert: newpix = eq_levls[oldpix]
int s = width*height;
for(int i = 0; i < s; ++i){
++orig_hysto[lin[i]];
}
int Nblack = 0, bpart = (int)(throwpart * s);
int Nblack = 0, bpart = (int)(throwpart * (double)s);
int startidx;
// remove first part of black pixels
for(startidx = 0; startidx < 256; ++startidx){
Nblack += orig_hysto[startidx];
Nblack += orig_histo[startidx];
if(Nblack >= bpart) break;
}
++startidx;
@@ -290,15 +358,9 @@ uint8_t *equalize(const Image *I, int nchannels, double throwpart){
if(Nwhite >= wpart) break;
}*/
//DBG("Throw %d (real: %d black) pixels, startidx=%d", bpart, Nblack, startidx);
/*
double part = (double)(s + 1) / 256., N = 0.;
for(int i = 0; i < 256; ++i){
N += orig_hysto[i];
eq_levls[i] = (uint8_t)(N/part);
}*/
double part = (double)(s + 1. - Nblack) / 256., N = 0.;
for(int i = startidx; i < 256; ++i){
N += orig_hysto[i];
N += orig_histo[i];
eq_levls[i] = (uint8_t)(N/part);
}
//for(int i = stopidx; i < 256; ++i) eq_levls[i] = 255;
@@ -309,8 +371,8 @@ uint8_t *equalize(const Image *I, int nchannels, double throwpart){
if(nchannels == 3){
OMP_FOR()
for(int y = 0; y < height; ++y){
uint8_t *Out = &outp[y*stride];
uint8_t *In = &lin[y*width];
uint8_t *Out = &outp[(height-1-y)*stride];
Imtype *In = &I->data[y*width];
for(int x = 0; x < width; ++x){
Out[0] = Out[1] = Out[2] = eq_levls[*In++];
Out += 3;
@@ -319,14 +381,14 @@ uint8_t *equalize(const Image *I, int nchannels, double throwpart){
}else{
OMP_FOR()
for(int y = 0; y < height; ++y){
uint8_t *Out = &outp[y*width];
uint8_t *In = &lin[y*width];
uint8_t *Out = &outp[(height-1-y)*width];
Imtype *In = &I->data[y*width];
for(int x = 0; x < width; ++x){
*Out++ = eq_levls[*In++];
}
}
}
FREE(lin);
FREE(orig_histo);
return outp;
}
@@ -344,6 +406,7 @@ int Image_write_jpg(const Image *I, const char *name, int eq){
outp = equalize(I, 1, theconf.throwpart);
else
outp = linear(I, 1);
if(!outp) return 0;
//DBG("Try to write %s", name);
char *tmpnm = MALLOC(char, strlen(name) + 5);
sprintf(tmpnm, "%s-tmp", name);
@@ -372,8 +435,9 @@ void Image_minmax(Image *I){
int min_p = min, max_p = min;
#pragma omp for nowait
for(int i = 0; i < wh; ++i){
if(I->data[i] < min_p) min_p = I->data[i];
else if(I->data[i] > max_p) max_p = I->data[i];
Imtype pixval = I->data[i];
if(pixval < min_p) min_p = pixval;
else if(pixval > max_p) max_p = pixval;
}
#pragma omp critical
{
@@ -383,27 +447,26 @@ void Image_minmax(Image *I){
}
I->maxval = max;
I->minval = min;
DBG("Image_minmax(): Min=%g, Max=%g, time: %gms", min, max, (dtime()-t0)*1e3);
DBG("Image_minmax(): Min=%d, Max=%d, time: %gms", min, max, (dtime()-t0)*1e3);
}
/*
* =================== CONVERT IMAGE TYPES ===================>
*/
// convert binarized image into floating
/**
* @brief bin2Im - convert binarized image into floating
* @param image - binarized image
* @param W, H - its size (in pixels!)
* @return Image structure
*/
Image *bin2Im(uint8_t *image, int W, int H){
Image *bin2Im(const uint8_t *image, int W, int H){
Image *ret = Image_new(W, H);
int stride = (W + 7) / 8, s1 = (stride*8 == W) ? stride : stride - 1;
OMP_FOR()
for(int y = 0; y < H; y++){
Imtype *optr = &ret->data[y*W];
uint8_t *iptr = &image[y*stride];
const uint8_t *iptr = &image[y*stride];
for(int x = 0; x < s1; x++){
register uint8_t inp = *iptr++;
for(int i = 0; i < 8; ++i){
@@ -412,20 +475,21 @@ Image *bin2Im(uint8_t *image, int W, int H){
}
}
int rest = W - s1*8;
register uint8_t inp = *iptr;
for(int i = 0; i < rest; ++i){
*optr++ = (inp & 0x80) ? 1. : 0;
inp <<= 1;
if(rest){
register uint8_t inp = *iptr;
for(int i = 0; i < rest; ++i){
*optr++ = (inp & 0x80) ? 1. : 0;
inp <<= 1;
}
}
}
ret->dtype = BYTE_IMG;
ret->minval = 0;
ret->maxval = 1;
return ret;
}
/**
* Convert floatpoint image into pseudo-packed (1 char == 8 pixels), all values > 0 will be 1, else - 0
* Convert floatpoint image into pseudo-packed (1 char == 8 pixels), all values > bk will be 1, else - 0
* @param im (i) - image to convert
* @param stride (o) - new width of image
* @param bk - background level (all values < bk will be 0, other will be 1)
@@ -438,46 +502,47 @@ uint8_t *Im2bin(const Image *im, Imtype bk){
int y, W0 = (W + 7) / 8, s1 = (W/8 == W0) ? W0 : W0 - 1;
uint8_t *ret = MALLOC(uint8_t, W0 * H);
OMP_FOR()
for(y = 0; y < H; y++){
for(y = 0; y < H; ++y){
Imtype *iptr = &im->data[y*W];
uint8_t *optr = &ret[y*W0];
register uint8_t o;
for(int x = 0; x < s1; ++x){
o = 0;
register uint8_t o = 0;
for(int i = 0; i < 8; ++i){
o <<= 1;
if(*iptr++ > bk) o |= 1;
}
*optr++ = o;
}
int rest = 7 - (W - s1*8);
if(rest < 7){
o = 0;
for(int x = 7; x > rest; --x){
if(*iptr++ > 0.) o |= 1<<x;
int rest = W - s1*8;
if(rest){
register uint8_t o = 0;
for(int x = 0; x < rest; ++x){
o <<= 1;
if(*iptr++ > bk) o |= 1;
}
*optr = o;
//*optr = o | 1<<rest; // mark outern right edge (for good CC labeling)
*optr = o << (8 - rest);
}
}
return ret;
}
// convert size_t labels into floating
Image *ST2Im(size_t *image, int W, int H){
#if 0
UNUSED function! Need to be refactored
// convert size_t labels into Image
Image *ST2Im(const size_t *image, int W, int H){
Image *ret = Image_new(W, H);
OMP_FOR()
for(int y = 0; y < H; ++y){
Imtype *optr = &ret->data[y*W];
size_t *iptr = &image[y*W];
const size_t *iptr = &image[y*W];
for(int x = 0; x < W; ++x){
*optr++ = (Imtype)*iptr++;
}
}
ret->dtype = FLOAT_IMG;
Image_minmax(ret);
return ret;
}
#endif
/**
* Convert "packed" image into size_t array for conncomp procedure
@@ -485,13 +550,13 @@ Image *ST2Im(size_t *image, int W, int H){
* @param W, H - size of image in pixels
* @return allocated memory area with copy of an image
*/
size_t *bin2ST(uint8_t *image, int W, int H){
size_t *bin2ST(const uint8_t *image, int W, int H){
size_t *ret = MALLOC(size_t, W * H);
int W0 = (W + 7) / 8, s1 = W0 - 1;
OMP_FOR()
for(int y = 0; y < H; y++){
size_t *optr = &ret[y*W];
uint8_t *iptr = &image[y*W0];
const uint8_t *iptr = &image[y*W0];
for(int x = 0; x < s1; ++x){
register uint8_t inp = *iptr++;
for(int i = 0; i < 8; ++i){
@@ -500,10 +565,12 @@ size_t *bin2ST(uint8_t *image, int W, int H){
}
}
int rest = W - s1*8;
register uint8_t inp = *iptr;
for(int i = 0; i < rest; ++i){
*optr++ = (inp & 0x80) ? 1 : 0;
inp <<= 1;
if(rest){
register uint8_t inp = *iptr;
for(int i = 0; i < rest; ++i){
*optr++ = (inp & 0x80) ? 1 : 0;
inp <<= 1;
}
}
}
return ret;