Beispiel #1
0
        // Gather statistics for the specified image
        private unsafe void ProcessImage( UnmanagedImage image, byte* mask, int maskLineSize )
        {
            // get image dimension
            int width  = image.Width;
            int height = image.Height;

            pixels = pixelsWithoutBlack = 0;

            int[] s   = new int[256];
            int[] l   = new int[256];
            int[] swb = new int[256];
            int[] lwb = new int[256];
            RGB   rgb = new RGB( );
            HSL   hsl = new HSL( );

            int pixelSize = ( image.PixelFormat == PixelFormat.Format24bppRgb ) ? 3 : 4;
            int offset = image.Stride - width * pixelSize;
            int maskOffset = maskLineSize - width;

            // do the job
            byte * p = (byte*) image.ImageData.ToPointer( );

            if ( mask == null )
            {
                // for each line
                for ( int y = 0; y < height; y++ )
                {
                    // for each pixel
                    for ( int x = 0; x < width; x++, p += pixelSize )
                    {
                        rgb.Red   = p[RGB.R];
                        rgb.Green = p[RGB.G];
                        rgb.Blue  = p[RGB.B];

                        // convert to HSL color space
                         BestCS.Imaging.HSL.FromRGB( rgb, hsl );

                        s[(int) ( hsl.Saturation * 255 )]++;
                        l[(int) ( hsl.Luminance  * 255 )]++;
                        pixels++;

                        if ( hsl.Luminance != 0.0 )
                        {
                            swb[(int) ( hsl.Saturation * 255 )]++;
                            lwb[(int) ( hsl.Luminance  * 255 )]++;
                            pixelsWithoutBlack++;
                        }
                    }
                    p += offset;
                }
            }
            else
            {
                // for each line
                for ( int y = 0; y < height; y++ )
                {
                    // for each pixel
                    for ( int x = 0; x < width; x++, p += pixelSize, mask++ )
                    {
                        if ( *mask == 0 )
                            continue;

                        rgb.Red   = p[RGB.R];
                        rgb.Green = p[RGB.G];
                        rgb.Blue  = p[RGB.B];

                        // convert to HSL color space
                         BestCS.Imaging.HSL.FromRGB( rgb, hsl );

                        s[(int) ( hsl.Saturation * 255 )]++;
                        l[(int) ( hsl.Luminance  * 255 )]++;
                        pixels++;

                        if ( hsl.Luminance != 0.0 )
                        {
                            swb[(int) ( hsl.Saturation * 255 )]++;
                            lwb[(int) ( hsl.Luminance  * 255 )]++;
                            pixelsWithoutBlack++;
                        }
                    }
                    p += offset;
                    mask += maskOffset;
                }
            }

            // create histograms
            saturation = new ContinuousHistogram( s, new Range( 0, 1 ) );
            luminance  = new ContinuousHistogram( l, new Range( 0, 1 ) );

            saturationWithoutBlack = new ContinuousHistogram( swb, new Range( 0, 1 ) );
            luminanceWithoutBlack  = new ContinuousHistogram( lwb, new Range( 0, 1 ) );
        }
        // Gather statistics for the specified image
        private unsafe void ProcessImage( UnmanagedImage image, byte* mask, int maskLineSize )
        {
            // get image dimension
            int width  = image.Width;
            int height = image.Height;

            pixels = pixelsWithoutBlack = 0;

            int[] yhisto  = new int[256];
            int[] cbhisto = new int[256];
            int[] crhisto = new int[256];

            int[] yhistoWB	= new int[256];
            int[] cbhistoWB	= new int[256];
            int[] crhistoWB	= new int[256];

            RGB   rgb   = new RGB( );
            YCbCr ycbcr = new YCbCr( );

            int pixelSize = ( image.PixelFormat == PixelFormat.Format24bppRgb ) ? 3 : 4;
            int offset = image.Stride - width * pixelSize;
            int maskOffset = maskLineSize - width;

            // do the job
            byte * p = (byte*) image.ImageData.ToPointer( );

            if ( mask == null )
            {
                // for each line
                for ( int y = 0; y < height; y++ )
                {
                    // for each pixel
                    for ( int x = 0; x < width; x++, p += pixelSize )
                    {
                        rgb.Red   = p[RGB.R];
                        rgb.Green = p[RGB.G];
                        rgb.Blue  = p[RGB.B];

                        // convert to YCbCr color space
                         BestCS.Imaging.YCbCr.FromRGB( rgb, ycbcr );

                        yhisto[(int) ( ycbcr.Y * 255 )]++;
                        cbhisto[(int) ( ( ycbcr.Cb + 0.5 ) * 255 )]++;
                        crhisto[(int) ( ( ycbcr.Cr + 0.5 ) * 255 )]++;

                        pixels++;

                        if ( ( ycbcr.Y != 0.0 ) || ( ycbcr.Cb != 0.0 ) || ( ycbcr.Cr != 0.0 ) )
                        {
                            yhistoWB[(int) ( ycbcr.Y * 255 )]++;
                            cbhistoWB[(int) ( ( ycbcr.Cb + 0.5 ) * 255 )]++;
                            crhistoWB[(int) ( ( ycbcr.Cr + 0.5 ) * 255 )]++;

                            pixelsWithoutBlack++;
                        }
                    }
                    p += offset;
                }
            }
            else
            {
                // for each line
                for ( int y = 0; y < height; y++ )
                {
                    // for each pixel
                    for ( int x = 0; x < width; x++, p += pixelSize, mask++ )
                    {
                        if ( *mask == 0 )
                            continue;

                        rgb.Red   = p[RGB.R];
                        rgb.Green = p[RGB.G];
                        rgb.Blue  = p[RGB.B];

                        // convert to YCbCr color space
                         BestCS.Imaging.YCbCr.FromRGB( rgb, ycbcr );

                        yhisto[(int) ( ycbcr.Y * 255 )]++;
                        cbhisto[(int) ( ( ycbcr.Cb + 0.5 ) * 255 )]++;
                        crhisto[(int) ( ( ycbcr.Cr + 0.5 ) * 255 )]++;

                        pixels++;

                        if ( ( ycbcr.Y != 0.0 ) || ( ycbcr.Cb != 0.0 ) || ( ycbcr.Cr != 0.0 ) )
                        {
                            yhistoWB[(int) ( ycbcr.Y * 255 )]++;
                            cbhistoWB[(int) ( ( ycbcr.Cb + 0.5 ) * 255 )]++;
                            crhistoWB[(int) ( ( ycbcr.Cr + 0.5 ) * 255 )]++;

                            pixelsWithoutBlack++;
                        }
                    }
                    p += offset;
                    mask += maskOffset;
                }
            }

            // create histograms
            yHistogram  = new ContinuousHistogram( yhisto,  new Range(  0.0f, 1.0f ) );
            cbHistogram = new ContinuousHistogram( cbhisto, new Range( -0.5f, 0.5f ) );
            crHistogram = new ContinuousHistogram( crhisto, new Range( -0.5f, 0.5f ) );

            yHistogramWithoutBlack  = new ContinuousHistogram( yhistoWB,  new Range(  0.0f, 1.0f ) );
            cbHistogramWithoutBlack = new ContinuousHistogram( cbhistoWB, new Range( -0.5f, 0.5f ) );
            crHistogramWithoutBlack = new ContinuousHistogram( crhistoWB, new Range( -0.5f, 0.5f ) );
        }