1 /*M///////////////////////////////////////////////////////////////////////////////////////
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7 // copy or use the software.
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9 //
10 // Intel License Agreement
11 // For Open Source Computer Vision Library
12 //
13 // Copyright (C) 2000, Intel Corporation, all rights reserved.
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40 //M*/
41
42 #include "_cv.h"
43
44 static void
icvAdaptiveThreshold_MeanC(const CvMat * src,CvMat * dst,int method,int maxValue,int type,int size,double delta)45 icvAdaptiveThreshold_MeanC( const CvMat* src, CvMat* dst, int method,
46 int maxValue, int type, int size, double delta )
47 {
48 CvMat* mean = 0;
49 CV_FUNCNAME( "icvAdaptiveThreshold_MeanC" );
50
51 __BEGIN__;
52
53 int i, j, rows, cols;
54 int idelta = type == CV_THRESH_BINARY ? cvCeil(delta) : cvFloor(delta);
55 uchar tab[768];
56
57 if( size <= 1 || (size&1) == 0 )
58 CV_ERROR( CV_StsOutOfRange, "Neighborhood size must be >=3 and odd (3, 5, 7, ...)" );
59
60 if( maxValue < 0 )
61 {
62 CV_CALL( cvSetZero( dst ));
63 EXIT;
64 }
65
66 rows = src->rows;
67 cols = src->cols;
68
69 if( src->data.ptr != dst->data.ptr )
70 mean = dst;
71 else
72 CV_CALL( mean = cvCreateMat( rows, cols, CV_8UC1 ));
73
74 CV_CALL( cvSmooth( src, mean, method == CV_ADAPTIVE_THRESH_MEAN_C ?
75 CV_BLUR : CV_GAUSSIAN, size, size ));
76 if( maxValue > 255 )
77 maxValue = 255;
78
79 if( type == CV_THRESH_BINARY )
80 for( i = 0; i < 768; i++ )
81 tab[i] = (uchar)(i - 255 > -idelta ? maxValue : 0);
82 else
83 for( i = 0; i < 768; i++ )
84 tab[i] = (uchar)(i - 255 <= -idelta ? maxValue : 0);
85
86 for( i = 0; i < rows; i++ )
87 {
88 const uchar* s = src->data.ptr + i*src->step;
89 const uchar* m = mean->data.ptr + i*mean->step;
90 uchar* d = dst->data.ptr + i*dst->step;
91
92 for( j = 0; j < cols; j++ )
93 d[j] = tab[s[j] - m[j] + 255];
94 }
95
96 __END__;
97
98 if( mean != dst )
99 cvReleaseMat( &mean );
100 }
101
102
103 CV_IMPL void
cvAdaptiveThreshold(const void * srcIm,void * dstIm,double maxValue,int method,int type,int blockSize,double param1)104 cvAdaptiveThreshold( const void *srcIm, void *dstIm, double maxValue,
105 int method, int type, int blockSize, double param1 )
106 {
107 CvMat src_stub, dst_stub;
108 CvMat *src = 0, *dst = 0;
109
110 CV_FUNCNAME( "cvAdaptiveThreshold" );
111
112 __BEGIN__;
113
114 if( type != CV_THRESH_BINARY && type != CV_THRESH_BINARY_INV )
115 CV_ERROR( CV_StsBadArg, "Only CV_TRESH_BINARY and CV_THRESH_BINARY_INV "
116 "threshold types are acceptable" );
117
118 CV_CALL( src = cvGetMat( srcIm, &src_stub ));
119 CV_CALL( dst = cvGetMat( dstIm, &dst_stub ));
120
121 if( !CV_ARE_CNS_EQ( src, dst ))
122 CV_ERROR( CV_StsUnmatchedFormats, "" );
123
124 if( CV_MAT_TYPE(dst->type) != CV_8UC1 )
125 CV_ERROR( CV_StsUnsupportedFormat, "" );
126
127 if( !CV_ARE_SIZES_EQ( src, dst ) )
128 CV_ERROR( CV_StsUnmatchedSizes, "" );
129
130 switch( method )
131 {
132 case CV_ADAPTIVE_THRESH_MEAN_C:
133 case CV_ADAPTIVE_THRESH_GAUSSIAN_C:
134 CV_CALL( icvAdaptiveThreshold_MeanC( src, dst, method, cvRound(maxValue),type,
135 blockSize, param1 ));
136 break;
137 default:
138 CV_ERROR( CV_BADCOEF_ERR, "" );
139 }
140
141 __END__;
142 }
143
144 /* End of file. */
145