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MSER Non Maxima Suppression is not supressing all the regions

I have removed non maxima regions from the vector "bbox" . But when I plot it shows the regions which still contain non maxima regions. If I measure the bbox.size() before & after non max suppression it says 4677 & 3582 respectively.Why its not able to remove all the non maximas ?? I have taken area and the start and end x & y co ordinates as the criterion.

Complete code is here: https://stackoverflow.com/questions/44537429/how-to-plot-the-non-maxima-supressed-regions-opencv-c?noredirect=1#comment76067794_44537429

Ptr<mser> ms = MSER::create();

vector<rect> bbox,filtered;

vector<vector<point> > regions;

vector <int> vec;

ms->detectRegions(gray,regions,bbox);

cout<<bbox.size()&lt;&lt;"befor delete"&lt;<endl;<="" p="">

for (int i = 0; i<bbox.size(); i++){<="" p=""> 

for(int j = 0; j<bbox.size(); j++){

    if( (bbox[i].x > bbox[j].x) && (bbox[i].y > bbox[j].y) && ((bbox[i].x+bbox[i].width) <(bbox[j].x+bbox[j].width))

&& ((bbox[i].y+bbox[i].height) < (bbox[j].y+bbox[j].height)) && (bbox[i].area() < bbox[j].area())){

        bbox.erase(bbox.begin() + i );

    }


}

}

cout<<bbox.size()&lt;&lt;" after"&lt;<endl;<="" p="">

for (int k = 0; k < bbox.size(); k++)

{

rectangle(src,bbox[k], CV_RGB(0, 255, 0));

}

imshow("mser", src);

imwrite("NoN.jpg",src);

MSER Non Maxima Suppression is not supressing all the regions

I have removed non maxima regions from the vector "bbox" . But when I plot it shows the regions which still contain non maxima regions. If I measure the bbox.size() before & after non max suppression it says 4677 & 3582 respectively.Why its not able to remove all the non maximas ?? I have taken area and the start and end x & y co ordinates as the criterion.

Complete code is here: https://stackoverflow.com/questions/44537429/how-to-plot-the-non-maxima-supressed-regions-opencv-c?noredirect=1#comment76067794_44537429

Ptr<mser> ms = MSER::create();

vector<rect> bbox,filtered;

vector<vector<point> > regions;

vector <int> vec;

ms->detectRegions(gray,regions,bbox);

cout<<bbox.size()&lt;&lt;"befor cout<<bbox.size()&lt;&lt;"before delete"&lt;<endl;<="" p="">

for (int i = 0; i<bbox.size(); i++){<="" p=""> 

for(int j = 0; j<bbox.size(); j++){

    if( (bbox[i].x > bbox[j].x) && (bbox[i].y > bbox[j].y) && ((bbox[i].x+bbox[i].width) <(bbox[j].x+bbox[j].width))

&& ((bbox[i].y+bbox[i].height) < (bbox[j].y+bbox[j].height)) && (bbox[i].area() < bbox[j].area())){

        bbox.erase(bbox.begin() + i );

    }


}

}

cout<<bbox.size()&lt;&lt;" after"&lt;<endl;<="" p="">

for (int k = 0; k < bbox.size(); k++)

{

rectangle(src,bbox[k], CV_RGB(0, 255, 0));

}

imshow("mser", src);

imwrite("NoN.jpg",src);

MSER Non Maxima Suppression is not supressing all the regions

I have removed non maxima regions from the vector "bbox" . But when I plot it shows the regions which still contain non maxima regions. If I measure the bbox.size() before & after non max suppression it says 4677 & 3582 respectively.Why its not able to remove all the non maximas ?? I have taken area and the start and end x & y co ordinates as the criterion.

Complete code is here: https://stackoverflow.com/questions/44537429/how-to-plot-the-non-maxima-supressed-regions-opencv-c?noredirect=1#comment76067794_44537429

Ptr<mser> ms = MSER::create();

vector<rect> bbox,filtered;

vector<vector<point> > regions;

vector <int> vec;

ms->detectRegions(gray,regions,bbox);

cout<<bbox.size()&lt;&lt;"before delete"&lt;<endl;<="" p="">

for (int i = 0; i<bbox.size(); i++){<="" p=""> 

for(int j = 0; j<bbox.size(); j++){

    if( (bbox[i].x > bbox[j].x) && (bbox[i].y > bbox[j].y) && ((bbox[i].x+bbox[i].width) <(bbox[j].x+bbox[j].width))

&& ((bbox[i].y+bbox[i].height) < (bbox[j].y+bbox[j].height)) && (bbox[i].area() < bbox[j].area())){

        bbox.erase(bbox.begin() + i );

    }


}

}

cout<<bbox.size()&lt;&lt;" after"&lt;<endl;<="" p="">

for (int k = 0; k < bbox.size(); k++)

{

rectangle(src,bbox[k], CV_RGB(0, 255, 0));

}

imshow("mser", src);

imwrite("NoN.jpg",src);Note: The same method in python yields much lesser regions and suppresses it all. Is there a difference between detectRegions in python & c++ ??

MSER Non Maxima Suppression is not supressing all the regions

I have removed non maxima regions from the vector "bbox" . But when I plot it shows the regions which still contain non maxima regions. If I measure the bbox.size() before & after non max suppression it says 4677 & 3582 respectively.Why its not able to remove all the non maximas ?? I have taken area and the start and end x & y co ordinates as the criterion.

Complete code is here: https://stackoverflow.com/questions/44537429/how-to-plot-the-non-maxima-supressed-regions-opencv-c?noredirect=1#comment76067794_44537429

Note: The same method in python yields much lesser regions and suppresses it all. Is there a difference between detectRegions in python & c++ ??

C++ :

Mat src = imread("/home/clabs/MANU/right_side/53.jpg",CV_LOAD_IMAGE_UNCHANGED);

Mat gray;

Mat src1 = src.clone();

cvtColor(src, gray, CV_RGB2GRAY);

Ptr<MSER> ms = MSER::create();

vector<Rect> bbox,filtered;
vector<vector<Point> > regions;
vector <int> vec;

ms->detectRegions(gray,regions,bbox);


for (int k = 0; k < bbox.size(); k++)
{
   rectangle(src,bbox[k], CV_RGB(0, 255, 0));
}

imwrite("Unsupressed.jpg",src);

cout<<bbox.size()<<"Befor Delete"<<endl;
for (int i = 0; i<bbox.size(); i++){
    for(int j = 0; j<bbox.size(); j++){

        if( (bbox[i].x > bbox[j].x) && (bbox[i].y > bbox[j].y) && ((bbox[i].x+bbox[i].width) < (bbox[j].x+bbox[j].width)) && ((bbox[i].y+bbox[i].height) < (bbox[j].y+bbox[j].height)) && (bbox[i].area() < bbox[j].area())){



            bbox.erase(bbox.begin() + i );

        }


    }
}

cout<<bbox.size()<<" After"<<endl;
cout<<vec.size()<<endl;

for (int k = 0; k < bbox.size(); k++)
{
    rectangle(src1,bbox[k], CV_RGB(255,0,0));
   //cout<<k<<endl;
}


imshow("mser", src1);
imwrite("NoN.jpg",src1);



waitKey(0);

return 0;

}

Python code:

import cv2 import numpy as np

img = cv2.imread('/home/cocoslabs/selimspp/12.jpg')

mser = cv2.MSER_create()

mser = cv2.MSER() gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) #Converting to GrayScale

gray_img = img.copy()

regions = mser.detectRegions(gray, None)

regions = mser.detect(gray, None)

print regions

xsminr=[] ysminr=[] xsmaxr=[] ysmaxr=[] wsr=[] hsr=[] arsr=[] for r in regions: xsr=[] ysr=[]

for c in r:
     xsr.append(c[0])
     ysr.append(c[1])

xsminr.append(min(xsr))     
xsmaxr.append(max(xsr)) 
ysminr.append(min(ysr))     
ysmaxr.append(max(ysr))

     #txmin=c[0]
     #txmax=c[0]
     #tymin=c[1]
     #tymax=c[1]

for i in range(0,len(xsminr)): ws=xsmaxr[i]-xsminr[i] hs=ysmaxr[i]-ysminr[i] ars=ws*hs wsr.append(ws) hsr.append(hs) arsr.append(ars) #if(txmin<c[0]): #="" txmin="txmin" #else:="" #="" txmin="c[0]" #if(txmax="">c[0]): # txmax=txmax #else: # txmax=c[0] # xsminr.append(txmin) # xsmaxr.append(txmax)

print xsminr

print len(xsminr)

print len(xsmaxr)

print len(ysminr)

print len(ysmaxr)

print max(xsminr) print max(xsmaxr) print max(ysminr) print max(ysmaxr)

hthresh=40 wthresh=100 hmaxthresh=40 index=[] indexlar=[]

for i in range(0,len(xsminr)):

if(hsr[i]>hmaxthresh):

indexlar.append(i)

xsminr=np.delete(xsminr,indexlar)

ysminr=np.delete(ysminr,indexlar)

xsmaxr=np.delete(xsmaxr,indexlar)

ysmaxr=np.delete(ysmaxr,indexlar)

for i in range(0,len(xsminr)): for j in range(0,len(xsminr)): if(hsr[j]<hthresh): if((xsminr[i]&gt;="xsminr[j])" &amp;="" (ysminr[i]&gt;="ysminr[j])" &amp;="" (xsmaxr[i]&lt;="xsmaxr[j])" &amp;="" (ysmaxr[i]&lt;="ysmaxr[j])):" if(arsr[i]<arsr[j]):="" if((i="" in="" index)="=0):" <br=""> index.append(i) # print "entered",j #print "j",i xsminr_n=np.delete(xsminr,index) xsmaxr_n=np.delete(xsmaxr,index) ysminr_n=np.delete(ysminr,index) ysmaxr_n=np.delete(ysmaxr,index) hsr_n=np.delete(hsr,index) wsr_n=np.delete(wsr,index) print len(index)

print len(xsminr_n) print len(xsmaxr_n) print len(ysminr_n) print len(ysmaxr_n) print len(wsr) print len(hsr) print hsr print wsr

for i in range(0,len(xsminr_n)): if(hsr_n[i]>hmaxthresh): indexlar.append(i) xsminr_n=np.delete(xsminr_n,indexlar) ysminr_n=np.delete(ysminr_n,indexlar) xsmaxr_n=np.delete(xsmaxr_n,indexlar) ysmaxr_n=np.delete(ysmaxr_n,indexlar)

for i in range(0,len(xsminr_n)): #if(wsr[i]<wthresh): #cv2.rectangle(gray_img,(xsminr_n[i],ysminr_n[i]),(xsmaxr_n[i],ysmaxr_n[i]),(0,255,0),1)="" imcrop="gray_img[ysminr_n[i]:ysmaxr_n[i],xsminr_n[i]:xsmaxr_n[i]]" cv2.imwrite("="" home="" cocoslabs="" croppedpp="" 12="" all="" "+str(i)+".jpg",imcrop)<="" p="">

hulls = [cv2.convexHull(p.reshape(-1, 1, 2)) for p in regions]

cv2.polylines(gray_img, hulls, 1, (0, 0, 255), 2)

cv2.imwrite('/home/cocoslabs/outm.jpg', gray_img) #Saving cv2.imshow('result',gray_img) cv2.waitKey(0) cv2.destroyAllWindows()

MSER Non Maxima Suppression is not supressing all the regions

I have removed non maxima regions from the vector "bbox" . But when I plot it shows the regions which still contain non maxima regions. If I measure the bbox.size() before & after non max suppression it says 4677 & 3582 respectively.Why its not able to remove all the non maximas ?? I have taken area and the start and end x & y co ordinates as the criterion.

Complete code is here: https://stackoverflow.com/questions/44537429/how-to-plot-the-non-maxima-supressed-regions-opencv-c?noredirect=1#comment76067794_44537429

Note: The same method in python yields much lesser regions and suppresses it all. Is there a difference between detectRegions in python & c++ ??

C++ :

Mat src = imread("/home/clabs/MANU/right_side/53.jpg",CV_LOAD_IMAGE_UNCHANGED);

Mat gray;

Mat src1 = src.clone();

cvtColor(src, gray, CV_RGB2GRAY);

Ptr<MSER> ms = MSER::create();

vector<Rect> bbox,filtered;
vector<vector<Point> > regions;
vector <int> vec;

ms->detectRegions(gray,regions,bbox);


for (int k = 0; k < bbox.size(); k++)
{
   rectangle(src,bbox[k], CV_RGB(0, 255, 0));
}

imwrite("Unsupressed.jpg",src);

cout<<bbox.size()<<"Befor Delete"<<endl;
for (int i = 0; i<bbox.size(); i++){
    for(int j = 0; j<bbox.size(); j++){

        if( (bbox[i].x > bbox[j].x) && (bbox[i].y > bbox[j].y) && ((bbox[i].x+bbox[i].width) < (bbox[j].x+bbox[j].width)) && ((bbox[i].y+bbox[i].height) < (bbox[j].y+bbox[j].height)) && (bbox[i].area() < bbox[j].area())){



            bbox.erase(bbox.begin() + i );

        }


    }
}

cout<<bbox.size()<<" After"<<endl;
cout<<vec.size()<<endl;

for (int k = 0; k < bbox.size(); k++)
{
    rectangle(src1,bbox[k], CV_RGB(255,0,0));
   //cout<<k<<endl;
}


imshow("mser", src1);
imwrite("NoN.jpg",src1);



waitKey(0);

return 0;

}

Python code:

import cv2 import numpy as np

img = cv2.imread('/home/cocoslabs/selimspp/12.jpg')

mser = cv2.MSER_create()

mser = cv2.MSER() gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) #Converting to GrayScale

gray_img = img.copy()

regions = mser.detectRegions(gray, None)

regions = mser.detect(gray, None)

print regions

xsminr=[] ysminr=[] xsmaxr=[] ysmaxr=[] wsr=[] hsr=[] arsr=[] for r in regions: xsr=[] ysr=[]

for c in r:
     xsr.append(c[0])
     ysr.append(c[1])

xsminr.append(min(xsr))     
xsmaxr.append(max(xsr)) 
ysminr.append(min(ysr))     
ysmaxr.append(max(ysr))

     #txmin=c[0]
     #txmax=c[0]
     #tymin=c[1]
     #tymax=c[1]

for i in range(0,len(xsminr)): ws=xsmaxr[i]-xsminr[i] hs=ysmaxr[i]-ysminr[i] ars=ws*hs wsr.append(ws) hsr.append(hs) arsr.append(ars) #if(txmin<c[0]): #="" txmin="txmin" #else:="" #="" txmin="c[0]" #if(txmax="">c[0]): # txmax=txmax #else: # txmax=c[0] # xsminr.append(txmin) # xsmaxr.append(txmax)

print xsminr

print len(xsminr)

print len(xsmaxr)

print len(ysminr)

print len(ysmaxr)

print max(xsminr) print max(xsmaxr) print max(ysminr) print max(ysmaxr)

hthresh=40 wthresh=100 hmaxthresh=40 index=[] indexlar=[]

for i in range(0,len(xsminr)):

if(hsr[i]>hmaxthresh):

indexlar.append(i)

xsminr=np.delete(xsminr,indexlar)

ysminr=np.delete(ysminr,indexlar)

xsmaxr=np.delete(xsmaxr,indexlar)

ysmaxr=np.delete(ysmaxr,indexlar)

for i in range(0,len(xsminr)): for j in range(0,len(xsminr)): if(hsr[j]<hthresh): if((xsminr[i]&gt;="xsminr[j])" &amp;="" (ysminr[i]&gt;="ysminr[j])" &amp;="" (xsmaxr[i]&lt;="xsmaxr[j])" &amp;="" (ysmaxr[i]&lt;="ysmaxr[j])):" if(arsr[i]<arsr[j]):="" if((i="" in="" index)="=0):" <br=""> index.append(i) # print "entered",j #print "j",i xsminr_n=np.delete(xsminr,index) xsmaxr_n=np.delete(xsmaxr,index) ysminr_n=np.delete(ysminr,index) ysmaxr_n=np.delete(ysmaxr,index) hsr_n=np.delete(hsr,index) wsr_n=np.delete(wsr,index) print len(index)

print len(xsminr_n) print len(xsmaxr_n) print len(ysminr_n) print len(ysmaxr_n) print len(wsr) print len(hsr) print hsr print wsr

for i in range(0,len(xsminr_n)): if(hsr_n[i]>hmaxthresh): indexlar.append(i) xsminr_n=np.delete(xsminr_n,indexlar) ysminr_n=np.delete(ysminr_n,indexlar) xsmaxr_n=np.delete(xsmaxr_n,indexlar) ysmaxr_n=np.delete(ysmaxr_n,indexlar)

for i in range(0,len(xsminr_n)): #if(wsr[i]<wthresh): #cv2.rectangle(gray_img,(xsminr_n[i],ysminr_n[i]),(xsmaxr_n[i],ysmaxr_n[i]),(0,255,0),1)="" imcrop="gray_img[ysminr_n[i]:ysmaxr_n[i],xsminr_n[i]:xsmaxr_n[i]]" cv2.imwrite("="" home="" cocoslabs="" croppedpp="" 12="" all="" "+str(i)+".jpg",imcrop)<="" p="">

hulls = [cv2.convexHull(p.reshape(-1, 1, 2)) for p in regions]

cv2.polylines(gray_img, hulls, 1, (0, 0, 255), 2)

cv2.imwrite('/home/cocoslabs/outm.jpg', gray_img) #Saving cv2.imshow('result',gray_img) cv2.waitKey(0) cv2.destroyAllWindows()

MSER Non Maxima Suppression is not supressing all the regions

I have removed non maxima regions from the vector "bbox" . But when I plot it shows the regions which still contain non maxima regions. If I measure the bbox.size() before & after non max suppression it says 4677 & 3582 respectively.Why its not able to remove all the non maximas ?? I have taken area and the start and end x & y co ordinates as the criterion.

Complete code is here: https://stackoverflow.com/questions/44537429/how-to-plot-the-non-maxima-supressed-regions-opencv-c?noredirect=1#comment76067794_44537429

Note: The same method in python yields much lesser regions and suppresses it all. Is there a difference between detectRegions in python & c++ ??

C++ :

Mat src = imread("/home/clabs/MANU/right_side/53.jpg",CV_LOAD_IMAGE_UNCHANGED);

Mat gray;

Mat src1 = src.clone();

cvtColor(src, gray, CV_RGB2GRAY);

Ptr<MSER> ms = MSER::create();

vector<Rect> bbox,filtered;
vector<vector<Point> > regions;
vector <int> vec;

ms->detectRegions(gray,regions,bbox);


for (int k = 0; k < bbox.size(); k++)
{
   rectangle(src,bbox[k], CV_RGB(0, 255, 0));
}

imwrite("Unsupressed.jpg",src);

cout<<bbox.size()<<"Befor Delete"<<endl;
for (int i = 0; i<bbox.size(); i++){
    for(int j = 0; j<bbox.size(); j++){

        if( (bbox[i].x > bbox[j].x) && (bbox[i].y > bbox[j].y) && ((bbox[i].x+bbox[i].width) < (bbox[j].x+bbox[j].width)) && ((bbox[i].y+bbox[i].height) < (bbox[j].y+bbox[j].height)) && (bbox[i].area() < bbox[j].area())){



            bbox.erase(bbox.begin() + i );

        }


    }
}

cout<<bbox.size()<<" After"<<endl;
cout<<vec.size()<<endl;

for (int k = 0; k < bbox.size(); k++)
{
    rectangle(src1,bbox[k], CV_RGB(255,0,0));
   //cout<<k<<endl;
}


imshow("mser", src1);
imwrite("NoN.jpg",src1);



waitKey(0);

return 0;

}

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