IppStatus PrintOutputImages(const Image2D &image_in, const Image2D &image_bpass, const Image2D &image_localmax, const Params &Parameters, const int framenumber, const int stacknumber, FIMULTIBITMAP *filt_imagestack, FIMULTIBITMAP *over_imagestack) { IppStatus status; Image2D image_out(image_in.get_length(), image_in.get_width()); Image2D image_overlay(image_in.get_length(), image_in.get_width()); Image2D centerpoints(image_in.get_length(), image_in.get_width()); Ipp32f brightness = 75; //scale points to brightness status = ippiMulC_32f_C1R(image_localmax.get_image2D(), image_localmax.get_stepsize(), brightness, centerpoints.get_image2D(), centerpoints.get_stepsize(), image_localmax.get_ROIfull()); //convert and save files as TIFFs status = ippiAdd_32f_C1R( image_bpass.get_image2D(), image_bpass.get_stepsize(), centerpoints.get_image2D(), centerpoints.get_stepsize(), image_out.get_image2D(), image_out.get_stepsize(), image_out.get_ROIfull()); status = ippiAdd_32f_C1R( image_in.get_image2D(), image_in.get_stepsize(), centerpoints.get_image2D(), centerpoints.get_stepsize(), image_overlay.get_image2D(), image_overlay.get_stepsize(), image_in.get_ROIfull()); status = IPP_to_TIFF(image_overlay, over_imagestack); status = IPP_to_TIFF(image_out, filt_imagestack); return status; }
IppStatus FindLocalMax_2D(Image2D &image_bpass, Image2D &image_bpass_thresh, Image2D &image_subtracted, const int intensity_threshold, const int dilation_radius) { IppStatus status; Image2D image_dilated(image_bpass.get_length(), image_bpass.get_width()); Dilation_Kernel DilationKernel(dilation_radius, image_bpass.get_width(), image_bpass.get_length()); //Threshold darker pixels in bandpassed image (in preparation for later subtraction) RecenterImage(image_bpass); status = ippiThreshold_LTVal_32f_C1R(image_bpass.get_image2D(), image_bpass.get_stepsize(), image_bpass_thresh.get_image2D(), image_bpass_thresh.get_stepsize(), image_bpass.get_ROIfull(), intensity_threshold, intensity_threshold); //Dilate Bandpassed image with a circular kernel status = ippiSet_32f_C1R(intensity_threshold, image_dilated.get_image2D(), image_dilated.get_stepsize(), image_dilated.get_ROIfull()); status = ippiDilate_32f_C1R( //image_bpass.get_image2D() + DilationKernel.get_offset(), image_bpass.get_stepsize(), image_bpass_thresh.get_image2D() + DilationKernel.get_offset(), image_bpass_thresh.get_stepsize(), image_dilated.get_image2D()+ DilationKernel.get_offset(), image_dilated.get_stepsize(), DilationKernel.get_ROI_size(), DilationKernel.get_dilation_kernel(), DilationKernel.get_mask_size(), DilationKernel.get_anchor_point()); //subtract, such that resulting array is negative to zero (for later exponentation) status = ippiSub_32f_C1R( image_dilated.get_image2D(), image_dilated.get_stepsize(), image_bpass.get_image2D(), image_bpass.get_stepsize(), image_subtracted.get_image2D(), image_subtracted.get_stepsize(), image_bpass.get_ROIfull()); //exponentiate subtracted array, then threshold status = ippiExp_32f_C1IR(image_subtracted.get_image2D(), image_subtracted.get_stepsize(), image_subtracted.get_ROIfull()); status = ippiThreshold_LTValGTVal_32f_C1IR(image_subtracted.get_image2D(), image_subtracted.get_stepsize(), image_subtracted.get_ROIfull(), 1-epsilon, 0, 1-epsilon, 1); return status; }
IppStatus BandPass_2D(Image2D &image_in, Image2D &image_bandpassed, const int feature_radius, const int hwhm_length) { //set status variable IppStatus status; Gaussian_Kernel GaussKernel(feature_radius, hwhm_length, image_in.get_width(), image_in.get_length()); Convolution_Kernel ConvolutionKernels(feature_radius, image_in.get_width(), image_in.get_length()); Tophat_Kernel TopHatKernel(feature_radius, image_in.get_width(), image_in.get_length()); int number_of_pixels = image_in.get_numberofpixels(); int step_size = image_in.get_stepsize(); //Create and initialize intermediate images Image2D image_gauss_col(image_in.get_length(), image_in.get_width()); Image2D image_gauss_rowcol(image_in.get_length(), image_in.get_width()); Image2D image_tophat(image_in.get_length(), image_in.get_width()); //Gaussian kernel convolution status = ippiFilterColumn_32f_C1R(image_in.get_image2D() + GaussKernel.get_offset(), step_size, image_gauss_col.get_image2D() + GaussKernel.get_offset(), step_size, GaussKernel.get_ROI_size(), GaussKernel.get_gaussian_kernel(), GaussKernel.get_kernel_length(), GaussKernel.get_anchor_point()); status = ippiFilterRow_32f_C1R(image_gauss_col.get_image2D() + GaussKernel.get_offset(), step_size, image_gauss_rowcol.get_image2D() + GaussKernel.get_offset(), step_size, GaussKernel.get_ROI_size(), GaussKernel.get_gaussian_kernel(), GaussKernel.get_kernel_length(), GaussKernel.get_anchor_point()); /* //tophat kernel convolution/filterbox operation status = ippiFilterBox_32f_C1R(image_in.get_image2D() + TopHatKernel.get_offset(), step_size, image_tophat.get_image2D() + TopHatKernel.get_offset(), step_size, TopHatKernel.get_ROI_size(), TopHatKernel.get_mask_size(), TopHatKernel.get_anchor_point()); */ //change by Eli Sloutskin: take away bias of square filtering kernel status = ippiConvValid_32f_C1R(image_in.get_image2D(), step_size, image_in.get_ROIfull(), ConvolutionKernels.get_circle_kernel(), ConvolutionKernels.get_kernel_step(), ConvolutionKernels.get_kernel_size(), image_tophat.get_image2D() + ConvolutionKernels.get_offset(), step_size); ippiDivC_32f_C1IR(3*feature_radius*feature_radius, image_tophat.get_image2D(),image_tophat.get_stepsize(),image_tophat.get_ROIfull()); //subtract the two images status = ippiSub_32f_C1R(image_tophat.get_image2D() + TopHatKernel.get_offset(), step_size, image_gauss_rowcol.get_image2D()+TopHatKernel.get_offset(), step_size, image_bandpassed.get_image2D() + TopHatKernel.get_offset(), step_size, TopHatKernel.get_ROI_size()); //cutoff values below zero status = ippiThreshold_LTVal_32f_C1IR(image_bandpassed.get_image2D() + TopHatKernel.get_offset(), step_size, TopHatKernel.get_ROI_size(),0,0); return status; }