Esempio n. 1
0
/**
 * im_ismonotonic:
 * @lut: lookup-table to test
 * @out: set non-zero if @lut is monotonic
 *
 * Test @lut for monotonicity. @out is set non-zero if @lut is monotonic.
 *
 * See also: im_tone_build_range().
 *
 * Returns: 0 on success, -1 on error
 */
int
im_ismonotonic( IMAGE *lut, int *out )
{
    IMAGE *t[2];
    INTMASK *mask;
    double m;

    if( im_check_hist( "im_ismonotonic", lut ) ||
            im_open_local_array( lut, t, 2, "im_ismonotonic", "p" ) )
        return( -1 );

    if( lut->Xsize == 1 )
        mask = im_create_imaskv( "im_ismonotonic", 1, 2, -1, 1 );
    else
        mask = im_create_imaskv( "im_ismonotonic", 2, 1, -1, 1 );
    if( !(mask = im_local_imask( lut, mask )) )
        return( -1 );
    mask->offset = 128;

    /* We want >=128 everywhere, ie. no -ve transitions.
     */
    if( im_conv( lut, t[0], mask ) ||
            im_moreeqconst( t[0], t[1], 128 ) ||
            im_min( t[1], &m ) )
        return( -1 );

    *out = m;

    return( 0 );
}
Esempio n. 2
0
/**
 * im_gradient:
 * @in: input image
 * @out: output image
 * @mask: convolution mask
 *
 * @in is convolved with @mask and with @mask after a 90 degree rotation. The
 * result is the sum of the absolute value of the two convolutions. 
 *
 * See also: im_lindetect(), im_gradient(), im_conv().
 *
 * Returns: 0 on success, -1 on error
 */
int
im_gradient( IMAGE *in, IMAGE *out, INTMASK *mask )
{
	IMAGE *t[4];
	INTMASK *rmask;

	if( im_open_local_array( out, t, 4, "im_gradient", "p" ) )
		return( -1 );

	if( !(rmask = im_local_imask( out, 
		im_rotate_imask90( mask, mask->filename ) )) ) 
		return( -1 );

	if( im_conv( in, t[0], mask ) ||
		im_conv( in, t[1], rmask ) ||
		im_abs( t[0], t[2] ) ||
		im_abs( t[1], t[3] ) ||
		im_add( t[2], t[3], out ) )
		return( -1 );

	return( 0 );
}
Esempio n. 3
0
/**
 * im_lindetect:
 * @in: input image
 * @out: output image
 * @mask: convolution mask
 *
 * @in is convolved four times with @mask, each time @mask is rotated by 45
 * degrees. Each output pixel is the largest absolute value of the four
 * convolutions.
 *
 * See also: im_compass(), im_gradient(), im_conv().
 *
 * Returns: 0 on success, -1 on error
 */
int 
im_lindetect( IMAGE *in, IMAGE *out, INTMASK *mask )
{
	IMAGE *filtered[4];
	IMAGE *absed[4];
	int i;

	if( im_open_local_array( out, filtered, 4, "im_lindetect:1", "p" ) ||
		im_open_local_array( out, absed, 4, "im_lindetect:2", "p" ) )
		return( -1 );

	for( i = 0; i < 4; i++ ) {
		if( im_conv( in, filtered[i], mask ) ||
			!(mask = im_local_imask( out, 
				im_rotate_imask45( mask, mask->filename ) )) )
			return( -1 );
	}

	for( i = 0; i < 4; i++ ) 
		if( im_abs( filtered[i], absed[i] ) )
			return( -1 );

	return( im_maxvalue( absed, out, 4 ) );
}