public void doFilter(INyARRgbRaster i_input, NyARBinRaster i_output)
{
Debug.Assert(i_input.getSize().isEqualSize(i_output.getSize()) == true);
this._do_threshold_impl.doThFilter(i_input, i_output, i_output.getSize());
return;
}
public void doFilter(INyARRgbRaster i_input, NyARBinRaster i_output)
{
//INyARBufferReader in_buffer_reader = i_input.getBufferReader();
//INyARBufferReader out_buffer_reader = i_output.getBufferReader();
int in_buf_type = i_input.getBufferType();
NyARIntSize size = i_output.getSize();
Debug.Assert(i_output.isEqualBufferType(NyARBufferType.INT2D_BIN_8));
Debug.Assert(checkInputType(in_buf_type) == true);
Debug.Assert(i_input.getSize().isEqualSize(size.w * 2, size.h * 2) == true);
int[][] out_buf = (int[][])i_output.getBuffer();
switch (i_input.getBufferType())
{
case NyARBufferType.BYTE1D_B8G8R8_24:
case NyARBufferType.BYTE1D_R8G8B8_24:
convert24BitRgb((byte[])i_input.getBuffer(), out_buf, size);
break;
case NyARBufferType.BYTE1D_B8G8R8X8_32:
convert32BitRgbx((byte[])i_input.getBuffer(), out_buf, size);
break;
case NyARBufferType.WORD1D_R5G6B5_16LE:
convert16BitRgb565word((short[])i_input.getBuffer(), out_buf, size);
break;
default:
throw new NyARException();
}
return;
}
/**
* BINラスタをラベリングします。
* @param i_bin_raster
* @param o_stack
* 結果を蓄積するスタックオブジェクトを指定します。
* 関数は、このオブジェクトに結果を追記します。
* @return
* @throws NyARException
*/
public virtual void labeling(NyARBinRaster i_bin_raster)
{
Debug.Assert(i_bin_raster.isEqualBufferType(NyARBufferType.INT1D_BIN_8));
NyARIntSize size = i_bin_raster.getSize();
this.imple_labeling(i_bin_raster, 0, 0, 0, size.w, size.h);
}
public bool getContour(NyARBinRaster i_raster, int i_entry_x, int i_entry_y, NyARIntCoordinates o_coord)
{
Debug.Assert(i_raster.isEqualBufferType(NyARBufferType.INT1D_BIN_8));
NyARIntSize s = i_raster.getSize();
return(impl_getContour(i_raster, 0, 0, s.w - 1, s.h - 1, 0, i_entry_x, i_entry_y, o_coord));
}
public void doFilter(INyARRgbRaster i_input, NyARBinRaster i_output)
{
Debug.Assert(i_input.getSize().isEqualSize(i_output.getSize()) == true);
NyARIntSize s = i_input.getSize();
this._do_threshold_impl.doThFilter(i_input, 0, 0, s.w, s.h, this._threshold, i_output);
return;
}
/**
* この関数は、ラスタをラべリングします。
* 結果は、o_destinationに出力します。
* <p>メモ -
* この関数の元になるARToolKitの関数は、static ARInt16 *labeling2( ARUint8 *image, int thresh,int *label_num, int **area, double **pos, int **clip,int **label_ref, int LorR )です。
* </p>
* @param i_raster
* 入力元の二値ラスタオブジェクトです。画素形式は、{@link NyARBufferType#INT1D_BIN_8}である必要があります。
* @param o_destination
* ラべリング画像の出力先オブジェクトです。i_rasterと同じサイズである必要があります。
* @
*/
public int labeling(NyARBinRaster i_raster, NyARLabelingImage o_destination)
{
Debug.Assert(i_raster.getBufferType() == NyARBufferType.INT1D_BIN_8);
int label_img_ptr1, label_pixel;
int i, j;
int n, k; /* work */
// サイズチェック
NyARIntSize in_size = i_raster.getSize();
Debug.Assert(o_destination.getSize().isEqualSize(in_size));
int lxsize = in_size.w; // lxsize = arUtil_c.arImXsize;
int lysize = in_size.h; // lysize = arUtil_c.arImYsize;
int[] label_img = (int[])o_destination.getBuffer();
// 枠作成はインスタンスを作った直後にやってしまう。
// ラベリング情報のリセット（ラベリングインデックスを使用）
o_destination.reset(true);
int[] label_idxtbl = o_destination.getIndexArray();
int[] raster_buf = (int[])i_raster.getBuffer();
int[] work2_pt;
int wk_max = 0;
int pixel_index;
int[][] work2 = this._work_holder.work2;
// [1,1](ptr0)と、[0,1](ptr1)のインデクス値を計算する。
for (j = 1; j < lysize - 1; j++)
{ // for (int j = 1; j < lysize - 1;j++, pnt += poff*2, pnt2 += 2) {
pixel_index = j * lxsize + 1;
label_img_ptr1 = pixel_index - lxsize; // label_img_pt1 = label_img[j - 1];
for (i = 1; i < lxsize - 1; i++, pixel_index++, label_img_ptr1++)
{ // for(int i = 1; i < lxsize-1;i++, pnt+=poff, pnt2++) {
// RGBの合計値が閾値より小さいかな？
if (raster_buf[pixel_index] != 0)
{
label_img[pixel_index] = 0;// label_img_pt0[i] = 0;// *pnt2 = 0;
}
else
{
// pnt1 = ShortPointer.wrap(pnt2, -lxsize);//pnt1 =&(pnt2[-lxsize]);
if (label_img[label_img_ptr1] > 0)
{ // if (label_img_pt1[i] > 0) {// if( *pnt1 > 0 ) {
label_pixel = label_img[label_img_ptr1]; // label_pixel = label_img_pt1[i];// *pnt2 = *pnt1;
work2_pt = work2[label_pixel - 1];
work2_pt[0]++; // work2[((*pnt2)-1)*7+0] ++;
work2_pt[1] += i; // work2[((*pnt2)-1)*7+1] += i;
work2_pt[2] += j; // work2[((*pnt2)-1)*7+2] += j;
work2_pt[6] = j; // work2[((*pnt2)-1)*7+6] = j;
}
else if (label_img[label_img_ptr1 + 1] > 0)
{ // } else if (label_img_pt1[i + 1] > 0) {// }else if(*(pnt1+1) > 0 ) {
if (label_img[label_img_ptr1 - 1] > 0)
{ // if (label_img_pt1[i - 1] > 0) {// if( *(pnt1-1) > 0 ) {
label_pixel = label_idxtbl[label_img[label_img_ptr1 + 1] - 1]; // m = label_idxtbl[label_img_pt1[i + 1] - 1];// m
// =work[*(pnt1+1)-1];
n = label_idxtbl[label_img[label_img_ptr1 - 1] - 1]; // n = label_idxtbl[label_img_pt1[i - 1] - 1];// n =work[*(pnt1-1)-1];
if (label_pixel > n)
{
// wk=IntPointer.wrap(work, 0);//wk = &(work[0]);
for (k = 0; k < wk_max; k++)
{
if (label_idxtbl[k] == label_pixel)
{ // if( *wk == m )
label_idxtbl[k] = n; // *wk = n;
}
}
label_pixel = n;// *pnt2 = n;
}
else if (label_pixel < n)
{
// wk=IntPointer.wrap(work,0);//wk = &(work[0]);
for (k = 0; k < wk_max; k++)
{
if (label_idxtbl[k] == n)
{ // if( *wk == n ){
label_idxtbl[k] = label_pixel; // *wk = m;
}
}
}
work2_pt = work2[label_pixel - 1];
work2_pt[0]++;
work2_pt[1] += i;
work2_pt[2] += j;
work2_pt[6] = j;
}
else if ((label_img[pixel_index - 1]) > 0)
{ // } else if ((label_img_pt0[i - 1]) > 0) {// }else if(*(pnt2-1) > 0) {
label_pixel = label_idxtbl[label_img[label_img_ptr1 + 1] - 1]; // m = label_idxtbl[label_img_pt1[i + 1] - 1];// m =work[*(pnt1+1)-1];
n = label_idxtbl[label_img[pixel_index - 1] - 1]; // n = label_idxtbl[label_img_pt0[i - 1] - 1];// n =work[*(pnt2-1)-1];
if (label_pixel > n)
{
for (k = 0; k < wk_max; k++)
{
if (label_idxtbl[k] == label_pixel)
{ // if( *wk == m ){
label_idxtbl[k] = n; // *wk = n;
}
}
label_pixel = n;// *pnt2 = n;
}
else if (label_pixel < n)
{
for (k = 0; k < wk_max; k++)
{
if (label_idxtbl[k] == n)
{ // if( *wk == n ){
label_idxtbl[k] = label_pixel; // *wk = m;
}
}
}
work2_pt = work2[label_pixel - 1];
work2_pt[0]++; // work2[((*pnt2)-1)*7+0] ++;
work2_pt[1] += i; // work2[((*pnt2)-1)*7+1] += i;
work2_pt[2] += j; // work2[((*pnt2)-1)*7+2] += j;
}
else
{
label_pixel = label_img[label_img_ptr1 + 1];// label_pixel = label_img_pt1[i + 1];// *pnt2 =
// *(pnt1+1);
work2_pt = work2[label_pixel - 1];
work2_pt[0]++; // work2[((*pnt2)-1)*7+0] ++;
work2_pt[1] += i; // work2[((*pnt2)-1)*7+1] += i;
work2_pt[2] += j; // work2[((*pnt2)-1)*7+2] += j;
if (work2_pt[3] > i)
{ // if(work2[((*pnt2)-1)*7+3] > i ){
work2_pt[3] = i; // work2[((*pnt2)-1)*7+3] = i;
}
work2_pt[6] = j; // work2[((*pnt2)-1)*7+6] = j;
}
}
else if ((label_img[label_img_ptr1 - 1]) > 0)
{ // } else if ((label_img_pt1[i - 1]) > 0) {// }else if(
// *(pnt1-1) > 0 ) {
label_pixel = label_img[label_img_ptr1 - 1]; // label_pixel = label_img_pt1[i - 1];// *pnt2 =
// *(pnt1-1);
work2_pt = work2[label_pixel - 1];
work2_pt[0]++; // work2[((*pnt2)-1)*7+0] ++;
work2_pt[1] += i; // work2[((*pnt2)-1)*7+1] += i;
work2_pt[2] += j; // work2[((*pnt2)-1)*7+2] += j;
if (work2_pt[4] < i)
{ // if( work2[((*pnt2)-1)*7+4] <i ){
work2_pt[4] = i; // work2[((*pnt2)-1)*7+4] = i;
}
work2_pt[6] = j; // work2[((*pnt2)-1)*7+6] = j;
}
else if (label_img[pixel_index - 1] > 0)
{ // } else if (label_img_pt0[i - 1] > 0) {// }else if(*(pnt2-1) > 0) {
label_pixel = label_img[pixel_index - 1]; // label_pixel = label_img_pt0[i - 1];// *pnt2 =*(pnt2-1);
work2_pt = work2[label_pixel - 1];
work2_pt[0]++; // work2[((*pnt2)-1)*7+0] ++;
work2_pt[1] += i; // work2[((*pnt2)-1)*7+1] += i;
work2_pt[2] += j; // work2[((*pnt2)-1)*7+2] += j;
if (work2_pt[4] < i)
{ // if( work2[((*pnt2)-1)*7+4] <i ){
work2_pt[4] = i; // work2[((*pnt2)-1)*7+4] = i;
}
}
else
{
// 現在地までの領域を予約
this._work_holder.reserv(wk_max);
wk_max++;
label_idxtbl[wk_max - 1] = wk_max;
label_pixel = wk_max;// work[wk_max-1] = *pnt2 = wk_max;
work2_pt = work2[wk_max - 1];
work2_pt[0] = 1;
work2_pt[1] = i;
work2_pt[2] = j;
work2_pt[3] = i;
work2_pt[4] = i;
work2_pt[5] = j;
work2_pt[6] = j;
}
label_img[pixel_index] = label_pixel;// label_img_pt0[i] = label_pixel;
}
}
}
// インデックステーブルとラベル数の計算
int wlabel_num = 1;// *label_num = *wlabel_num = j - 1;
for (i = 0; i < wk_max; i++)
{ // for(int i = 1; i <= wk_max; i++,wk++) {
label_idxtbl[i] = (label_idxtbl[i] == i + 1) ? wlabel_num++ : label_idxtbl[label_idxtbl[i] - 1]; // *wk=(*wk==i)?j++:work[(*wk)-1];
}
wlabel_num -= 1; // *label_num = *wlabel_num = j - 1;
if (wlabel_num == 0)
{ // if( *label_num == 0 ) {
// 発見数0
o_destination.getLabelStack().clear();
return(0);
}
// ラベル情報の保存等
NyARLabelingLabelStack label_list = o_destination.getLabelStack();
// ラベルバッファを予約
label_list.init(wlabel_num);
// エリアと重心、クリップ領域を計算
NyARLabelingLabel label_pt;
NyARLabelingLabel[] labels = label_list.getArray();
for (i = 0; i < wlabel_num; i++)
{
label_pt = labels[i];
label_pt.id = (short)(i + 1);
label_pt.area = 0;
label_pt.pos_x = label_pt.pos_y = 0;
label_pt.clip_l = lxsize; // wclip[i*4+0] = lxsize;
label_pt.clip_t = lysize; // wclip[i*4+2] = lysize;
label_pt.clip_r = label_pt.clip_b = 0; // wclip[i*4+3] = 0;
}
for (i = 0; i < wk_max; i++)
{
label_pt = labels[label_idxtbl[i] - 1];
work2_pt = work2[i];
label_pt.area += work2_pt[0];
label_pt.pos_x += work2_pt[1];
label_pt.pos_y += work2_pt[2];
if (label_pt.clip_l > work2_pt[3])
{
label_pt.clip_l = work2_pt[3];
}
if (label_pt.clip_r < work2_pt[4])
{
label_pt.clip_r = work2_pt[4];
}
if (label_pt.clip_t > work2_pt[5])
{
label_pt.clip_t = work2_pt[5];
}
if (label_pt.clip_b < work2_pt[6])
{
label_pt.clip_b = work2_pt[6];
}
}
for (i = 0; i < wlabel_num; i++)
{// for(int i = 0; i < *label_num; i++ ) {
label_pt = labels[i];
label_pt.pos_x /= label_pt.area;
label_pt.pos_y /= label_pt.area;
}
return(wlabel_num);
}
/**
* この関数は、ラスタをラべリングします。
* 結果は、o_destinationに出力します。
* <p>メモ -
* この関数の元になるARToolKitの関数は、static ARInt16 *labeling2( ARUint8 *image, int thresh,int *label_num, int **area, double **pos, int **clip,int **label_ref, int LorR )です。
* </p>
* @param i_raster
* 入力元の二値ラスタオブジェクトです。画素形式は、{@link NyARBufferType#INT1D_BIN_8}である必要があります。
* @param o_destination
* ラべリング画像の出力先オブジェクトです。i_rasterと同じサイズである必要があります。
* @
*/
public int labeling(NyARBinRaster i_raster, NyARLabelingImage o_destination)
{
Debug.Assert(i_raster.getBufferType() == NyARBufferType.INT1D_BIN_8);
int label_img_ptr1, label_pixel;
int i, j;
int n, k; /* work */
// サイズチェック
NyARIntSize in_size = i_raster.getSize();
Debug.Assert(o_destination.getSize().isEqualSize(in_size));
int lxsize = in_size.w;// lxsize = arUtil_c.arImXsize;
int lysize = in_size.h;// lysize = arUtil_c.arImYsize;
int[] label_img = (int[])o_destination.getBuffer();
// 枠作成はインスタンスを作った直後にやってしまう。
// ラベリング情報のリセット（ラベリングインデックスを使用）
o_destination.reset(true);
int[] label_idxtbl = o_destination.getIndexArray();
int[] raster_buf = (int[])i_raster.getBuffer();
int[] work2_pt;
int wk_max = 0;
int pixel_index;
int[][] work2 = this._work_holder.work2;
// [1,1](ptr0)と、[0,1](ptr1)のインデクス値を計算する。
for (j = 1; j < lysize - 1; j++)
{// for (int j = 1; j < lysize - 1;j++, pnt += poff*2, pnt2 += 2) {
pixel_index = j * lxsize + 1;
label_img_ptr1 = pixel_index - lxsize;// label_img_pt1 = label_img[j - 1];
for (i = 1; i < lxsize - 1; i++, pixel_index++, label_img_ptr1++)
{// for(int i = 1; i < lxsize-1;i++, pnt+=poff, pnt2++) {
// RGBの合計値が閾値より小さいかな？
if (raster_buf[pixel_index] != 0)
{
label_img[pixel_index] = 0;// label_img_pt0[i] = 0;// *pnt2 = 0;
}
else
{
// pnt1 = ShortPointer.wrap(pnt2, -lxsize);//pnt1 =&(pnt2[-lxsize]);
if (label_img[label_img_ptr1] > 0)
{// if (label_img_pt1[i] > 0) {// if( *pnt1 > 0 ) {
label_pixel = label_img[label_img_ptr1];// label_pixel = label_img_pt1[i];// *pnt2 = *pnt1;
work2_pt = work2[label_pixel - 1];
work2_pt[0]++;// work2[((*pnt2)-1)*7+0] ++;
work2_pt[1] += i;// work2[((*pnt2)-1)*7+1] += i;
work2_pt[2] += j;// work2[((*pnt2)-1)*7+2] += j;
work2_pt[6] = j;// work2[((*pnt2)-1)*7+6] = j;
}
else if (label_img[label_img_ptr1 + 1] > 0)
{// } else if (label_img_pt1[i + 1] > 0) {// }else if(*(pnt1+1) > 0 ) {
if (label_img[label_img_ptr1 - 1] > 0)
{// if (label_img_pt1[i - 1] > 0) {// if( *(pnt1-1) > 0 ) {
label_pixel = label_idxtbl[label_img[label_img_ptr1 + 1] - 1];// m = label_idxtbl[label_img_pt1[i + 1] - 1];// m
// =work[*(pnt1+1)-1];
n = label_idxtbl[label_img[label_img_ptr1 - 1] - 1];// n = label_idxtbl[label_img_pt1[i - 1] - 1];// n =work[*(pnt1-1)-1];
if (label_pixel > n)
{
// wk=IntPointer.wrap(work, 0);//wk = &(work[0]);
for (k = 0; k < wk_max; k++)
{
if (label_idxtbl[k] == label_pixel)
{// if( *wk == m )
label_idxtbl[k] = n;// *wk = n;
}
}
label_pixel = n;// *pnt2 = n;
}
else if (label_pixel < n)
{
// wk=IntPointer.wrap(work,0);//wk = &(work[0]);
for (k = 0; k < wk_max; k++)
{
if (label_idxtbl[k] == n)
{// if( *wk == n ){
label_idxtbl[k] = label_pixel;// *wk = m;
}
}
}
work2_pt = work2[label_pixel - 1];
work2_pt[0]++;
work2_pt[1] += i;
work2_pt[2] += j;
work2_pt[6] = j;
}
else if ((label_img[pixel_index - 1]) > 0)
{// } else if ((label_img_pt0[i - 1]) > 0) {// }else if(*(pnt2-1) > 0) {
label_pixel = label_idxtbl[label_img[label_img_ptr1 + 1] - 1];// m = label_idxtbl[label_img_pt1[i + 1] - 1];// m =work[*(pnt1+1)-1];
n = label_idxtbl[label_img[pixel_index - 1] - 1];// n = label_idxtbl[label_img_pt0[i - 1] - 1];// n =work[*(pnt2-1)-1];
if (label_pixel > n)
{
for (k = 0; k < wk_max; k++)
{
if (label_idxtbl[k] == label_pixel)
{// if( *wk == m ){
label_idxtbl[k] = n;// *wk = n;
}
}
label_pixel = n;// *pnt2 = n;
}
else if (label_pixel < n)
{
for (k = 0; k < wk_max; k++)
{
if (label_idxtbl[k] == n)
{// if( *wk == n ){
label_idxtbl[k] = label_pixel;// *wk = m;
}
}
}
work2_pt = work2[label_pixel - 1];
work2_pt[0]++;// work2[((*pnt2)-1)*7+0] ++;
work2_pt[1] += i;// work2[((*pnt2)-1)*7+1] += i;
work2_pt[2] += j;// work2[((*pnt2)-1)*7+2] += j;
}
else
{
label_pixel = label_img[label_img_ptr1 + 1];// label_pixel = label_img_pt1[i + 1];// *pnt2 =
// *(pnt1+1);
work2_pt = work2[label_pixel - 1];
work2_pt[0]++;// work2[((*pnt2)-1)*7+0] ++;
work2_pt[1] += i;// work2[((*pnt2)-1)*7+1] += i;
work2_pt[2] += j;// work2[((*pnt2)-1)*7+2] += j;
if (work2_pt[3] > i)
{// if(work2[((*pnt2)-1)*7+3] > i ){
work2_pt[3] = i;// work2[((*pnt2)-1)*7+3] = i;
}
work2_pt[6] = j;// work2[((*pnt2)-1)*7+6] = j;
}
}
else if ((label_img[label_img_ptr1 - 1]) > 0)
{// } else if ((label_img_pt1[i - 1]) > 0) {// }else if(
// *(pnt1-1) > 0 ) {
label_pixel = label_img[label_img_ptr1 - 1];// label_pixel = label_img_pt1[i - 1];// *pnt2 =
// *(pnt1-1);
work2_pt = work2[label_pixel - 1];
work2_pt[0]++;// work2[((*pnt2)-1)*7+0] ++;
work2_pt[1] += i;// work2[((*pnt2)-1)*7+1] += i;
work2_pt[2] += j;// work2[((*pnt2)-1)*7+2] += j;
if (work2_pt[4] < i)
{// if( work2[((*pnt2)-1)*7+4] <i ){
work2_pt[4] = i;// work2[((*pnt2)-1)*7+4] = i;
}
work2_pt[6] = j;// work2[((*pnt2)-1)*7+6] = j;
}
else if (label_img[pixel_index - 1] > 0)
{// } else if (label_img_pt0[i - 1] > 0) {// }else if(*(pnt2-1) > 0) {
label_pixel = label_img[pixel_index - 1];// label_pixel = label_img_pt0[i - 1];// *pnt2 =*(pnt2-1);
work2_pt = work2[label_pixel - 1];
work2_pt[0]++;// work2[((*pnt2)-1)*7+0] ++;
work2_pt[1] += i;// work2[((*pnt2)-1)*7+1] += i;
work2_pt[2] += j;// work2[((*pnt2)-1)*7+2] += j;
if (work2_pt[4] < i)
{// if( work2[((*pnt2)-1)*7+4] <i ){
work2_pt[4] = i;// work2[((*pnt2)-1)*7+4] = i;
}
}
else
{
// 現在地までの領域を予約
this._work_holder.reserv(wk_max);
wk_max++;
label_idxtbl[wk_max - 1] = wk_max;
label_pixel = wk_max;// work[wk_max-1] = *pnt2 = wk_max;
work2_pt = work2[wk_max - 1];
work2_pt[0] = 1;
work2_pt[1] = i;
work2_pt[2] = j;
work2_pt[3] = i;
work2_pt[4] = i;
work2_pt[5] = j;
work2_pt[6] = j;
}
label_img[pixel_index] = label_pixel;// label_img_pt0[i] = label_pixel;
}
}
}
// インデックステーブルとラベル数の計算
int wlabel_num = 1;// *label_num = *wlabel_num = j - 1;
for (i = 0; i < wk_max; i++)
{// for(int i = 1; i <= wk_max; i++,wk++) {
label_idxtbl[i] = (label_idxtbl[i] == i + 1) ? wlabel_num++ : label_idxtbl[label_idxtbl[i] - 1];// *wk=(*wk==i)?j++:work[(*wk)-1];
}
wlabel_num -= 1;// *label_num = *wlabel_num = j - 1;
if (wlabel_num == 0)
{// if( *label_num == 0 ) {
// 発見数0
o_destination.getLabelStack().clear();
return 0;
}
// ラベル情報の保存等
NyARLabelingLabelStack label_list = o_destination.getLabelStack();
// ラベルバッファを予約
label_list.init(wlabel_num);
// エリアと重心、クリップ領域を計算
NyARLabelingLabel label_pt;
NyARLabelingLabel[] labels = label_list.getArray();
for (i = 0; i < wlabel_num; i++)
{
label_pt = labels[i];
label_pt.id = (short)(i + 1);
label_pt.area = 0;
label_pt.pos_x = label_pt.pos_y = 0;
label_pt.clip_l = lxsize;// wclip[i*4+0] = lxsize;
label_pt.clip_t = lysize;// wclip[i*4+2] = lysize;
label_pt.clip_r = label_pt.clip_b = 0;// wclip[i*4+3] = 0;
}
for (i = 0; i < wk_max; i++)
{
label_pt = labels[label_idxtbl[i] - 1];
work2_pt = work2[i];
label_pt.area += work2_pt[0];
label_pt.pos_x += work2_pt[1];
label_pt.pos_y += work2_pt[2];
if (label_pt.clip_l > work2_pt[3])
{
label_pt.clip_l = work2_pt[3];
}
if (label_pt.clip_r < work2_pt[4])
{
label_pt.clip_r = work2_pt[4];
}
if (label_pt.clip_t > work2_pt[5])
{
label_pt.clip_t = work2_pt[5];
}
if (label_pt.clip_b < work2_pt[6])
{
label_pt.clip_b = work2_pt[6];
}
}
for (i = 0; i < wlabel_num; i++)
{// for(int i = 0; i < *label_num; i++ ) {
label_pt = labels[i];
label_pt.pos_x /= label_pt.area;
label_pt.pos_y /= label_pt.area;
}
return wlabel_num;
}
public void doFilter(INyARRgbRaster i_input, NyARIntRect i_area, NyARBinRaster i_output)
{
Debug.Assert(i_input.getSize().isEqualSize(i_output.getSize()) == true);
this._do_threshold_impl.doThFilter(i_input, i_area.x, i_area.y, i_area.w, i_area.h, this._threshold, i_output);
return;
}