OneEye Changeset - 28c6f89a3a7e

Changeset - 28c6f89a3a7e

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Laman - 6 years ago 2019-02-09 12:59:46

stone detection enhanced by edge subtraction

1 file changed with 12 insertions and 8 deletions:

exp/board_detect.py

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exp/board_detect.py

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@@ @@ -96,25 +96,29 @@ class BoardDetector: @@
 		(h,w)=img.shape[:2]
 		log.debug("image dimensions: %s x %s",w,h)
 		show(img,filename)
 		(x1,y1,x2,y2)=self._detectRough(img,filename)
 		rect=img[y1:y2,x1:x2]
 		self._rectW=x2-x1
 		self._rectH=y2-y1
 		self._rect=rect
 		# quantize colors
 		colors=self._sampleColors(rect)
 		quantized=quantize(rect,colors)
 		show(quantized,filename)
 		gray=cv.cvtColor(rect,cv.COLOR_BGR2GRAY)
 		edges=cv.Canny(gray,70,130)
 		show(edges,"edges")
 		quantized=quantized & (255-cv.cvtColor(edges,cv.COLOR_GRAY2BGR))
 		show(quantized,"quantized, edges separated")
 		# detect black and white stones
 		stones=self._detectStones(quantized,colors)
 		# detect lines from edges and stones
 		edgeImg=prepareEdgeImg(rect)
 		hough=HoughTransform(edgeImg)
 		hough.extract()
 		stonesImg=np.zeros((self._rectH,self._rectW),np.uint8)
 		for (point,c) in stones:
 			cv.circle(stonesImg,(int(point.x),int(point.y)),2,255,-1)
 		# cv.drawContours(stonesImg,[c for (point,c) in stones],-1,255,-1)
@@ @@ -156,34 +160,34 @@ class BoardDetector: @@
 		(h,w)=quantized.shape[:2]
 		mask=self._maskStones(quantized,colors)
 		stoneDims=(w/19,h/19)
 		log.debug("stone dims: %s - %s",tuple(x/2 for x in stoneDims),stoneDims)
 		(contours,hierarchy)=cv.findContours(mask,cv.RETR_LIST,cv.CHAIN_APPROX_SIMPLE)
 		stoneLocs=filterStones(contours,mask,stoneDims)
 		return stoneLocs
 	def _maskStones(self,quantized,colors):
 		unit=np.array([1,1,1],dtype=np.uint8)
 		kernel=np.ones((3,3),np.uint8)
 		maskB=cv.inRange(quantized,colors[0]-unit,colors[0]+unit)
 		maskB=cv.morphologyEx(maskB,cv.MORPH_OPEN,kernel,iterations=1)
 		maskB=cv.erode(maskB,kernel,iterations=3)
 		# distTransform = cv.distanceTransform(maskB,cv.DIST_L2,5)
 		# maskB=cv.inRange(distTransform,6,10)
 		distTransform=cv.distanceTransform(maskB,cv.DIST_L2,5)
 		maskB=cv.inRange(distTransform,6,20)
 		show(maskB,"black areas")
 		maskW=cv.inRange(quantized,colors[1]-unit,colors[1]+unit)
 		maskW=cv.morphologyEx(maskW,cv.MORPH_OPEN,kernel,iterations=1)
 		maskW=cv.erode(maskW,kernel,iterations=2)
 		distTransform=cv.distanceTransform(maskW,cv.DIST_L2,5)
 		maskW=cv.inRange(distTransform,6,20)
 		show(maskW,"white areas")
 		stones=cv.bitwise_or(maskB,maskW)
 		show(stones,"black and white areas")
 		return stones
 	def _constructLines(self,stoneLocs):
 		lineDict=dict()
 		# minCount=min(max(math.sqrt(len(stoneLocs))-4,3),7)
 		minCount=6
 		log.debug("min count: %s",minCount)
 		points=[point for (point,contour) in stoneLocs]
 		for line in groupLines(points,minCount,2):

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