/// <summary>
/// MSERのすべての輪郭情報を抽出する
/// </summary>
/// <param name="img"></param>
/// <param name="mask"></param>
/// <param name="contours"></param>
/// <param name="storage"></param>
/// <param name="params"></param>
#else
/// <summary>
/// Extracts the contours of Maximally Stable Extremal Regions
/// </summary>
/// <param name="img"></param>
/// <param name="mask"></param>
/// <param name="contours"></param>
/// <param name="storage"></param>
/// <param name="params"></param>
#endif
public static void ExtractMSER(CvArr img, CvArr mask, out CvContour[] contours, CvMemStorage storage, CvMSERParams @params)
{
if (img == null)
throw new ArgumentNullException("img");
if (storage == null)
throw new ArgumentNullException("storage");
IntPtr maskPtr = (mask == null) ? IntPtr.Zero : mask.CvPtr;
IntPtr contoursPtr = IntPtr.Zero;
CvInvoke.cvExtractMSER(img.CvPtr, maskPtr, ref contoursPtr, storage.CvPtr, @params.Struct);
CvSeq<IntPtr> seq = new CvSeq<IntPtr>(contoursPtr);
contours = Array.ConvertAll<IntPtr, CvContour>(seq.ToArray(), delegate(IntPtr p) { return new CvContour(p); });
}
/// <summary>
/// 2値画像中の輪郭を見つける
/// </summary>
/// <param name="image">入力画像（8ビットシングルチャンネル）．値が0以外のピクセルは「1」，0のピクセルは「0」とする.</param>
/// <param name="storage">抽出された輪郭を保存する領域</param>
/// <param name="firstContour">出力パラメータ．一番外側の輪郭へのポインタが入っている．</param>
/// <param name="headerSize">シーケンスヘッダのサイズ．method=CV_CHAIN_CODEの場合，>=sizeof(CvChain) ，それ以外の場合 >=sizeof(CvContour)．</param>
/// <param name="mode">抽出モード </param>
/// <param name="method">近似手法</param>
/// <param name="offset">オフセット．全ての輪郭点はこれによってシフトされる.</param>
/// <returns>抽出した輪郭の個数</returns>
#else
/// <summary>
/// Retrieves contours from the binary image and returns the number of retrieved contours.
/// </summary>
/// <param name="image">The source 8-bit single channel image. Non-zero pixels are treated as 1’s, zero pixels remain 0’s - that is image treated as binary.
/// To get such a binary image from grayscale, one may use cvThreshold, cvAdaptiveThreshold or cvCanny. The function modifies the source image content. </param>
/// <param name="storage">Container of the retrieved contours. </param>
/// <param name="firstContour">Output parameter, will contain the pointer to the first outer contour. </param>
/// <param name="headerSize">Size of the sequence header, >=sizeof(CvChain) if method=CV_CHAIN_CODE, and >=sizeof(CvContour) otherwise. </param>
/// <param name="mode">Retrieval mode. </param>
/// <param name="method">Approximation method. </param>
/// <param name="offset">Offset, by which every contour point is shifted. This is useful if the contours are extracted from the image ROI and then they should be analyzed in the whole image context. </param>
/// <returns>The number of retrieved contours.</returns>
#endif
public static int FindContours(CvArr image, CvMemStorage storage, out CvSeq<CvPoint> firstContour, int headerSize, ContourRetrieval mode, ContourChain method, CvPoint offset)
{
if (image == null)
throw new ArgumentNullException("image");
if (storage == null)
throw new ArgumentNullException("storage");
IntPtr firstContourPtr = IntPtr.Zero;
int result = NativeMethods.cvFindContours(image.CvPtr, storage.CvPtr, ref firstContourPtr, headerSize, mode, method, offset);
if (firstContourPtr == IntPtr.Zero)
firstContour = null;
else if (method == ContourChain.Code)
firstContour = new CvChain(firstContourPtr);
else
firstContour = new CvContour(firstContourPtr);
return result;
}
