/usr/include/iulib/imgedges.h is in libiulib-dev 0.4+is+0.3-3.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | // -*- C++ -*-
// Copyright 2006 Deutsches Forschungszentrum fuer Kuenstliche Intelligenz
// or its licensors, as applicable.
//
// You may not use this file except under the terms of the accompanying license.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you
// may not use this file except in compliance with the License. You may
// obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// Project: iulib -- image understanding library
// File: imgedges.h
// Purpose: interface to imgedges.cc
// Responsible: tmb
// Reviewer:
// Primary Repository:
// Web Sites: www.iupr.org, www.dfki.de
#ifndef h_imgedges__
#define h_imgedges__
#include "colib/colib.h"
namespace iulib {
namespace {using namespace colib;}
/// Compute raw edges from image, including non-maximum suppression.
/// Pixels not corresponding to edges are set to 0, edge pixels
/// are set to their gradient strength, which is always >0.
void rawedges(colib::floatarray &edges, colib::floatarray &smoothed);
/// Compute a fractile of the non-zero pixels in the image.
float nonzero_fractile(colib::floatarray &edges, float frac, int nbins=1000);
/// Perform non-maximum suppression
void nonmaxsup(bytearray &out, floatarray &gradm, floatarray &gradx, floatarray &grady);
/// Perform hysteresis thresholding of the image, using the given low and high thresholds.
void hysteresis_thresholding(colib::floatarray &image, float lo, float hi);
/// Compute gradient magnitude, horizontal, and vertical gradients.
void gradients(floatarray &gradm,floatarray &gradx,floatarray &grady,floatarray &smoothed);
/// Perform Canny edge detection. The resulting array contains non-zero values
/// at the locations of the Canny edge, with the value indicating the gradient
/// magnitude.
void canny(floatarray &gradm,floatarray &image,float sx,float sy,
float frac=0.3,float tlow=2.0,float thigh=4.0);
}
#endif
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