Class: OpenCV::IplImage

Inherits:
CvMat
  • Object
show all
Defined in:
ext/opencv/iplimage.cpp,
ext/opencv/iplimage.cpp

Overview

IPL(Intel Image Processing Library) Image class.

IplImage is subclass of CvMat. IplImage support ROI(region of interest) and COI(color of interest). Most of CvMat method support ROI, and some of CvMat method support COI.

What is ROI?

region of interest.

What is COI?

color of interest.

Constant Summary

Constants inherited from CvMat

CvMat::DRAWING_OPTION, CvMat::FIND_CONTOURS_OPTION, CvMat::FIND_FUNDAMENTAL_MAT_OPTION, CvMat::FLOOD_FILL_OPTION, CvMat::GOOD_FEATURES_TO_TRACK_OPTION, CvMat::HIST_OPTION, CvMat::OPTICAL_FLOW_BM_OPTION, CvMat::OPTICAL_FLOW_HS_OPTION, CvMat::ORB_OPTION

Class Method Summary collapse

Instance Method Summary collapse

Methods inherited from CvMat

#[], #[]=, #abs_diff, #adaptive_threshold, #add, add_weighted, #and, #and_into, #apply_color_map, #avg, #avg_sdv, #avg_value, #calc_hist, #cam_shift, #canny, #channel, #circle, #circle!, #cmp, compute_correspond_epilines, #convert_scale, #convert_scale_abs, #copy, #copy_make_border, #corner_eigenvv, #corner_harris, #corner_min_eigen_val, #count_non_zero, #create_mask, #cross_product, #data, #data=, #dct, decode, #depth, #det, #dft, #diag, #dilate, #dilate!, #dilate_into, #dim_size, #dims, #distance_transform, #div, #dot_product, #draw_chessboard_corners, #draw_chessboard_corners!, #draw_contours, #draw_contours!, #each_col, #each_row, #eigenvv, #ellipse, #ellipse!, #ellipse_box, #ellipse_box!, #encode_image, #eq, #equalize_hist, #erode, #erode!, #extract_orb, #extract_surf, #fill_convex_poly, #fill_convex_poly!, #fill_poly, #fill_poly!, #filter2d, #find_chessboard_corners, #find_contours, #find_contours!, #find_corner_sub_pix, find_fundamental_mat, find_homography, #fit_ellipse, #fit_line, #flip, #flip!, #flood_fill, #flood_fill!, #flood_fill_mask, #ge, #get_cols, get_perspective_transform, #get_rows, #good_features_to_track, #grab_cut, #grab_cut2, #gt, #height, #hough_circles, #hough_lines, #identity, #identity!, #in_range, #inpaint, #inside?, #integral, #invert, #kmeans, #laplace, #laplace2, #le, #line, #line!, #log, #log_polar, #lt, #lut, #magnitude, #mat_mul, #match_shapes, #match_template, #max, #mean_shift, merge, #method_missing, #min, #min_max_loc, #moments, #morphology, #mul, #mul_transposed, #ne, #normalize, #not, #not!, #optical_flow_bm, #optical_flow_hs, #optical_flow_lk, #or, #perspective_transform, #pixel_value, #poly_line, #poly_line!, #pre_corner_detect, #put_text, #put_text!, #pyr_down, #pyr_mean_shift_filtering, #pyr_up, #quadrangle_sub_pix, #rand_shuffle, #rand_shuffle!, #range, #range!, #rcv_clone, #rect_sub_pix, #rectangle, #rectangle!, #remap, #repeat, #reshape, #resize, rotation_matrix2D, #save_image, #scharr, #sdv, #set, #set!, #set_data, #set_zero, #set_zero!, #size, #smooth, #snake_image, #sobel, solve, #split, #sqrt, #square?, #sub, #sub_rect, #subspace_project, #subspace_reconstruct, #sum, #svd, #threshold, #to_16s, #to_16u, #to_32f, #to_32s, #to_64f, #to_8s, #to_8u, #to_CvMat, #to_IplConvKernel, #to_s, #trace, #transform, #transpose, #vector?, #vector_magnitude!, #warp_affine, #warp_perspective, #watershed, #width, #xor, #zero?

Constructor Details

#new(width, height[, depth = CV_8U][, channel = 3]) ⇒ Object

Create width * height image. Each element-value set 0.

Each element possigle range is set by depth. Default is unsigned 8bit.

Number of channel is set by channel. channel should be 1..4.

note: width = col, height = row, on CvMat. It is noted not to make a mistake because the order of argument is differenct to CvMat.



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# File 'ext/opencv/iplimage.cpp', line 55

VALUE
rb_initialize(int argc, VALUE *argv, VALUE self)
{
  VALUE width, height, depth, channel;
  rb_scan_args(argc, argv, "22", &width, &height, &depth, &channel);
  int _depth = CVMETHOD("DEPTH", depth, CV_8U);
  int _channel = argc < 4 ? 3 : NUM2INT(channel);
  DATA_PTR(self) = rb_cvCreateImage(cvSize(NUM2INT(width), NUM2INT(height)), cvIplDepth(_depth), _channel);
  return self;
}

Dynamic Method Handling

This class handles dynamic methods through the method_missing method in the class OpenCV::CvMat

Class Method Details

.decode_image(buf[, iscolor = CV_LOAD_IMAGE_COLOR]) ⇒ IplImage

Reads an image from a buffer in memory.

Parameters:

buf <CvMat, Array, String> - Input array
iscolor <Integer> - Flags specifying the color type of a decoded image (the same flags as CvMat#load)

Returns:



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# File 'ext/opencv/iplimage.cpp', line 115

VALUE
rb_decode_image(int argc, VALUE *argv, VALUE self)
{
  int iscolor, need_release;
  CvMat* buff = cCvMat::prepare_decoding(argc, argv, &iscolor, &need_release);
  IplImage* img_ptr = NULL;
  try {
    img_ptr = cvDecodeImage(buff, iscolor);
    if (need_release) {
      cvReleaseMat(&buff);
    }
  }
  catch (cv::Exception& e) {
    raise_cverror(e);
  }

  return OPENCV_OBJECT(rb_klass, img_ptr);
}

.IplImage::load(filename[,iscolor = CV_LOAD_IMAGE_COLOR]) ⇒ Object

Load an image from file.

iscolor = CV_LOAD_IMAGE_COLOR, the loaded image is forced to be a 3-channel color image
iscolor = CV_LOAD_IMAGE_GRAYSCALE, the loaded image is forced to be grayscale
iscolor = CV_LOAD_IMAGE_UNCHANGED, the loaded image will be loaded as is.

Currently the following file format are supported.

  • Windows bitmaps - BMP,DIB

  • JPEG files - JPEG,JPG,JPE

  • Portable Network Graphics - PNG

  • Portable image format - PBM,PGM,PPM

  • Sun rasters - SR,RAS

  • TIFF files - TIFF,TIF



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# File 'ext/opencv/iplimage.cpp', line 82

VALUE
rb_load_image(int argc, VALUE *argv, VALUE self)
{
  VALUE filename, iscolor;
  rb_scan_args(argc, argv, "11", &filename, &iscolor);
  Check_Type(filename, T_STRING);

  int _iscolor;
  if (TYPE(iscolor) == T_NIL) {
    _iscolor = CV_LOAD_IMAGE_COLOR;
  }
  else {
    Check_Type(iscolor, T_FIXNUM);
    _iscolor = FIX2INT(iscolor);
  }
  
  IplImage *image;
  if ((image = cvLoadImage(StringValueCStr(filename), _iscolor)) == NULL) {
    rb_raise(rb_eStandardError, "file does not exist or invalid format image.");
  }
  return OPENCV_OBJECT(rb_klass, image);
}

Instance Method Details

#get_coi ⇒ Object Also known as: coi

Return COI as Fixnum.



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# File 'ext/opencv/iplimage.cpp', line 198

VALUE
rb_get_coi(VALUE self)
{
  int coi = 0;
  try {
    coi = cvGetImageCOI(IPLIMAGE(self));
  }
  catch (cv::Exception& e) {
    raise_cverror(e);
  }
  return INT2FIX(coi);
}

#get_roi ⇒ Object Also known as: roi

Get ROI as CvRect.



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# File 'ext/opencv/iplimage.cpp', line 137

VALUE
rb_get_roi(VALUE self)
{
  CvRect rect;
  try {
    rect = cvGetImageROI(IPLIMAGE(self));
  }
  catch (cv::Exception& e) {
    raise_cverror(e);
  }
  return cCvRect::new_object(rect);
}

#pyr_segmentation(level, threshold1, threshold2) ⇒ Array

Does image segmentation by pyramids. The pyramid builds up to the level <i>level<i>. The links between any pixel a on <i>level<i>i and its candidate father pixel b on the adjacent level are established if

p(c(a),c(b)) < threshold1. After the connected components are defined, they are joined into several clusters. Any two segments A and B belong to the same cluster, if
p(c(A),c(B)) < threshold2. The input image has only one channel, then
p(c^2,c^2)=|c^2-c^2|. If the input image has three channels (red, green and blue), then
p(c^2,c^2)=0,3*(c^2 r-c^2 r)+0.59*(c^2 g-c^2 g)+0,11*(c^2 b-c^2 b) . There may be more than one connected component per a cluster.

Return segmented image and sequence of connected components. support single-channel or 3-channel 8bit unsigned image only

Returns:

  • (Array) 


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# File 'ext/opencv/iplimage.cpp', line 592

VALUE
rb_pyr_segmentation(VALUE self, VALUE level, VALUE threshold1, VALUE threshold2)
{
  IplImage* self_ptr = IPLIMAGE(self);
  CvSeq *comp = NULL;
  VALUE storage = cCvMemStorage::new_object();
  VALUE dest = Qnil;
  try {
    dest = cIplImage::new_object(cvGetSize(self_ptr), cvGetElemType(self_ptr));
    cvPyrSegmentation(self_ptr, IPLIMAGE(dest), CVMEMSTORAGE(storage), &comp,
		      NUM2INT(level), NUM2DBL(threshold1), NUM2DBL(threshold2));
  }
  catch (cv::Exception& e) {
    raise_cverror(e);
  }
  if (!comp) {
    comp = cvCreateSeq(CV_SEQ_CONNECTED_COMP, sizeof(CvSeq), sizeof(CvConnectedComp), CVMEMSTORAGE(storage));
  }
  return rb_ary_new3(2, dest, cCvSeq::new_sequence(cCvSeq::rb_class(), comp, cCvConnectedComp::rb_class(), storage));
}

#reset_coi ⇒ Object

Reset COI setting. Same as IplImage#coi = 0. Return self.



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# File 'ext/opencv/iplimage.cpp', line 243

VALUE
rb_reset_coi(VALUE self)
{
  try {
    cvSetImageCOI(IPLIMAGE(self), 0);
  }
  catch (cv::Exception& e) {
    raise_cverror(e);
  }
  return self;
}

#reset_roi ⇒ Object

Reset ROI setting. Same as IplImage#roi = nil. Return self.



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# File 'ext/opencv/iplimage.cpp', line 183

VALUE
rb_reset_roi(VALUE self)
{
  try {
    cvResetImageROI(IPLIMAGE(self));
  }
  catch (cv::Exception& e) {
    raise_cverror(e);
  }
  return self;
}

#set_coi(coi) ⇒ Object #set_coi(coi) {|image| ... } ⇒ Object Also known as: coi=

Set COI. coi should be Fixnum. Return self.

Overloads:

  • #set_coi(coi) {|image| ... } ⇒ Object

    Yields:

    • (image) 


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# File 'ext/opencv/iplimage.cpp', line 219

VALUE
rb_set_coi(VALUE self, VALUE coi)
{
  VALUE block = rb_block_given_p() ? rb_block_proc() : 0;
  try {
    if (block) {
      int prev_coi = cvGetImageCOI(IPLIMAGE(self));
      cvSetImageCOI(IPLIMAGE(self), NUM2INT(coi));
      rb_yield_values(1, self);
      cvSetImageCOI(IPLIMAGE(self), prev_coi);
    }
    else {
      cvSetImageCOI(IPLIMAGE(self), NUM2INT(coi));
    }
  }
  catch (cv::Exception& e) {
    raise_cverror(e);
  }
  return self;
}

#set_roi(rect) ⇒ Object #set_roi(rect) {|image| ... } ⇒ Object Also known as: roi=

Set ROI. rect should be CvRect or compatible object. Return self.

Overloads:

  • #set_roi(rect) {|image| ... } ⇒ Object

    Yields:

    • (image) 


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# File 'ext/opencv/iplimage.cpp', line 158

VALUE
rb_set_roi(VALUE self, VALUE roi)
{
  VALUE block = rb_block_given_p() ? rb_block_proc() : 0;
  try {
    if (block) {
      CvRect prev_roi = cvGetImageROI(IPLIMAGE(self));
      cvSetImageROI(IPLIMAGE(self), VALUE_TO_CVRECT(roi));
      rb_yield_values(1, self);
      cvSetImageROI(IPLIMAGE(self), prev_roi);
    }
    else {
      cvSetImageROI(IPLIMAGE(self), VALUE_TO_CVRECT(roi));
    }
  }
  catch (cv::Exception& e) {
    raise_cverror(e);
  }
  return self;
}

#smoothness(lowFreqRatio, blankDensity, messyDensity, highFreqRatio) ⇒ Array, Float

Determines if the image’s smoothness is either, :smooth, :messy, or :blank.

Original Author: [email protected]

Returns:

  • (Array, Float) 


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# File 'ext/opencv/iplimage.cpp', line 279

VALUE
rb_smoothness(int argc, VALUE *argv, VALUE self)
{
  VALUE lowFreqRatio, blankDensity, messyDensity, highFreqRatio;
  rb_scan_args(argc, argv, "04", &lowFreqRatio, &blankDensity, &messyDensity, &highFreqRatio);

  double f_lowFreqRatio, f_blankDensity, f_messyDensity, f_highFreqRatio;
  double outLowDensity, outHighDensity;
  if (TYPE(lowFreqRatio) == T_NIL) {
    f_lowFreqRatio = 10 / 128.0f;
  }
  else {
    Check_Type(lowFreqRatio, T_FLOAT);
    f_lowFreqRatio = NUM2DBL(lowFreqRatio);
  }
  if (TYPE(blankDensity) == T_NIL) {
    f_blankDensity = 1.2f;
  }
  else {
    Check_Type(blankDensity, T_FLOAT);
    f_blankDensity = NUM2DBL(blankDensity);
  }
  if (TYPE(messyDensity) == T_NIL) {
    f_messyDensity = 0.151f;
  }
  else {
    Check_Type(messyDensity, T_FLOAT);
    f_messyDensity = NUM2DBL(messyDensity);
  }
  if (TYPE(highFreqRatio) == T_NIL) {
    f_highFreqRatio = 5 / 128.0f;
  }
  else {
    Check_Type(highFreqRatio, T_FLOAT);
    f_highFreqRatio = NUM2DBL(highFreqRatio);
  }

  IplImage *pFourierImage;
  IplImage *p64DepthImage;

  // the image is required to be in depth of 64
  if (IPLIMAGE(self)->depth == 64) {
    p64DepthImage = NULL;
    pFourierImage = create_fourier_image(IPLIMAGE(self));
  }
  else {
    p64DepthImage = rb_cvCreateImage(cvGetSize(IPLIMAGE(self)), IPL_DEPTH_64F, 1);
    cvConvertScale(CVARR(self), p64DepthImage, 1.0, 0.0);
    pFourierImage = create_fourier_image(p64DepthImage);
  }

  Smoothness result = compute_smoothness(pFourierImage, f_lowFreqRatio, f_blankDensity, f_messyDensity,
					 f_highFreqRatio, outLowDensity, outHighDensity);

  cvReleaseImage(&pFourierImage);
  if (p64DepthImage != NULL)
    cvReleaseImage(&p64DepthImage);

  switch(result) {
  case SMOOTH:
    return rb_ary_new3(3, ID2SYM(rb_intern("smooth")), rb_float_new(outLowDensity), rb_float_new(outHighDensity));
  case MESSY:
    return rb_ary_new3(3, ID2SYM(rb_intern("messy")), rb_float_new(outLowDensity), rb_float_new(outHighDensity));
  case BLANK:
    return rb_ary_new3(3, ID2SYM(rb_intern("blank")), rb_float_new(outLowDensity), rb_float_new(outHighDensity));
  default:
    return rb_ary_new3(3, NULL, rb_float_new(outLowDensity), rb_float_new(outHighDensity));
  }
}