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color-detection-for-image.py
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import numpy as np
import cv2
import imutils
red=0
orange=0
yellow=0
green=0
lightgcyan=0
lightblue=0
blue=0
violet=0
purple=0
pink=0
gray=0
total=0
img=input("Enter the path of image with extension png or jpg or jpeg:")
img = cv2.imread(img)
imageGrey = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
_, thrash = cv2.threshold(imageGrey, 240, 255, cv2.THRESH_BINARY)
contours1, _ = cv2.findContours(thrash, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
#cv2.drawContours(img,[a],-1,(0,255,0), 1)
# converting from BGR to HSV color space
hsv = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
# Range for lower
lower_red = np.array([0,50,50])
upper_red = np.array([10,255,255])
mask1 = cv2.inRange(hsv, lower_red, upper_red)
lower_orange = np.array([11,50,50])
upper_orange = np.array([20,255,255])
mask3 = cv2.inRange(hsv, lower_orange, upper_orange)
lower_yellow = np.array([21,50,50])
upper_yellow = np.array([30,255,255])
mask5 = cv2.inRange(hsv, lower_yellow, upper_yellow)
lower_green = np.array([31,50,50])
upper_green = np.array([80,255,255])
mask7 = cv2.inRange(hsv, lower_green, upper_green)
lower_light_blue = np.array([81,50,50])
upper_light_blue = np.array([110,255,255])
mask11 = cv2.inRange(hsv, lower_light_blue, upper_light_blue)
lower_blue = np.array([111,50,50])
upper_blue = np.array([130,255,255])
mask13 = cv2.inRange(hsv, lower_blue, upper_blue)
lower_violet = np.array([131,50,50])
upper_violet = np.array([140,255,255])
mask15 = cv2.inRange(hsv, lower_violet, upper_violet)
lower_purple = np.array([141,50,50])
upper_purple = np.array([160,255,255])
mask17 = cv2.inRange(hsv, lower_purple, upper_purple)
lower_pink = np.array([161,50,50])
upper_pink = np.array([170,255,255])
mask19 = cv2.inRange(hsv, lower_pink, upper_pink)
lower_gray = np.array([0,0,10])
upper_gray = np.array([0,0,225])
mask21 = cv2.inRange(hsv, lower_gray, upper_gray)
lower_black = np.array([0,0,0])
upper_black = np.array([0,0,255])
mask23 = cv2.inRange(hsv, lower_black, upper_black)
# Range for upper range
lower_red = np.array([170,120,70])
upper_red = np.array([180,255,255])
mask2 = cv2.inRange(hsv,lower_red,upper_red)
lower_orange = np.array([181,120,70])
upper_orange = np.array([190,255,255])
mask4 = cv2.inRange(hsv,lower_orange,upper_orange)
lower_yellow = np.array([191,120,70])
upper_yellow = np.array([200,255,255])
mask6 = cv2.inRange(hsv, lower_yellow, upper_yellow)
lower_green = np.array([201,120,70])
upper_green = np.array([250,255,255])
mask8 = cv2.inRange(hsv, lower_green, upper_green)
lower_light_blue = np.array([251,120,70])
upper_light_blue = np.array([290,255,255])
mask12 = cv2.inRange(hsv, lower_light_blue, upper_light_blue)
lower_blue = np.array([291,120,70])
upper_blue = np.array([300,255,255])
mask14 = cv2.inRange(hsv, lower_blue, upper_blue)
lower_violet = np.array([301,120,70])
upper_violet = np.array([310,255,255])
mask16 = cv2.inRange(hsv, lower_violet, upper_violet)
lower_purple = np.array([311,120,70])
upper_purple = np.array([330,255,255])
mask18 = cv2.inRange(hsv, lower_purple, upper_purple)
lower_pink = np.array([331,120,70])
upper_pink = np.array([340,255,255])
mask20 = cv2.inRange(hsv, lower_pink, upper_pink)
lower_gray = np.array([361,120,70])
upper_gray = np.array([380,255,255])
mask22 = cv2.inRange(hsv, lower_gray, upper_gray)
mask1 = mask1+mask2
mask3 = mask3+mask4
mask5 = mask5+mask6
mask7 = mask7+mask8
mask11 = mask11+mask12
mask13 = mask13+mask14
mask15 = mask15+mask16
mask17 = mask17+mask18
mask19 = mask19+mask20
mask21 = mask21+mask22
borderc1=cv2.findContours(mask1, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
borderc1=imutils.grab_contours(borderc1)
borderc2=cv2.findContours(mask3, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
borderc2=imutils.grab_contours(borderc2)
borderc3=cv2.findContours(mask5, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
borderc3=imutils.grab_contours(borderc3)
borderc4=cv2.findContours(mask7, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
borderc4=imutils.grab_contours(borderc4)
borderc6=cv2.findContours(mask11, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
borderc6=imutils.grab_contours(borderc6)
borderc7=cv2.findContours(mask13, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
borderc7=imutils.grab_contours(borderc7)
borderc8=cv2.findContours(mask15, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
borderc8=imutils.grab_contours(borderc8)
borderc9=cv2.findContours(mask17, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
borderc9=imutils.grab_contours(borderc9)
borderc10=cv2.findContours(mask19, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
borderc10=imutils.grab_contours(borderc10)
borderc11=cv2.findContours(mask21, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
borderc11=imutils.grab_contours(borderc11)
borderc12=cv2.findContours(mask23, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
borderc12=imutils.grab_contours(borderc12)
for a in borderc1:
Carea = cv2.contourArea(a)
if Carea > 10:
cv2.drawContours(img,[a],-1,(0,255,0), 1)
centroid = cv2.moments(a)
cx = int(centroid["m10"]/ centroid["m00"])
cy = int(centroid["m01"]/ centroid["m00"])
cv2.circle(img,(cx,cy),1,(0,0,0),0)
cv2.putText(img, "Red", (cx-10, cy-5), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (255,255,255))
red=red+1
for a in borderc2:
Carea = cv2.contourArea(a)
if Carea > 10:
cv2.drawContours(img,[a],-1,(0,255,0), 1)
centroid = cv2.moments(a)
cx = int(centroid["m10"]/ centroid["m00"])
cy = int(centroid["m01"]/ centroid["m00"])
cv2.circle(img,(cx,cy),1,(0,0,0),0)
cv2.putText(img, "Orange", (cx-20, cy-10), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (255,255,255))
orange=orange+1
for a in borderc3:
Carea = cv2.contourArea(a)
if Carea > 10:
cv2.drawContours(img,[a],-1,(0,255,0), 1)
centroid = cv2.moments(a)
cx = int(centroid["m10"]/ centroid["m00"])
cy = int(centroid["m01"]/ centroid["m00"])
cv2.circle(img,(cx,cy),1,(0,0,0),0)
cv2.putText(img, "Yellow", (cx-10, cy-10), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (255,255,255))
yellow=yellow+1
for a in borderc4:
Carea = cv2.contourArea(a)
if Carea > 10:
cv2.drawContours(img,[a],-1,(0,255,0), 1)
centroid = cv2.moments(a)
cx = int(centroid["m10"]/ centroid["m00"])
cy = int(centroid["m01"]/ centroid["m00"])
cv2.circle(img,(cx,cy),1,(0,0,0),0)
cv2.putText(img, "Green", (cx-10, cy-10), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (255,255,255))
green=green+1
for a in borderc6:
Carea = cv2.contourArea(a)
if Carea > 10:
cv2.drawContours(img,[a],-1,(0,255,0), 1)
centroid = cv2.moments(a)
cx = int(centroid["m10"]/ centroid["m00"])
cy = int(centroid["m01"]/ centroid["m00"])
cv2.circle(img,(cx,cy),1,(0,0,0),0)
cv2.putText(img, "Light Blue", (cx-10, cy-10), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (255,255,255))
lightblue=lightblue+1
for a in borderc7:
Carea = cv2.contourArea(a)
if Carea > 10:
cv2.drawContours(img,[a],-1,(0,255,0), 1)
centroid = cv2.moments(a)
cx = int(centroid["m10"]/ centroid["m00"])
cy = int(centroid["m01"]/ centroid["m00"])
cv2.circle(img,(cx,cy),1,(0,0,0),0)
cv2.putText(img, "Blue", (cx-10, cy-10), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (255,255,255))
blue=blue+1
for a in borderc8:
Carea = cv2.contourArea(a)
if Carea > 10:
cv2.drawContours(img,[a],-1,(0,255,0), 1)
centroid = cv2.moments(a)
cx = int(centroid["m10"]/ centroid["m00"])
cy = int(centroid["m01"]/ centroid["m00"])
cv2.circle(img,(cx,cy),1,(0,0,0),0)
cv2.putText(img, "Violet", (cx-10, cy-10), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (255,255,255))
violet=violet+1
for a in borderc9:
Carea = cv2.contourArea(a)
if Carea > 10:
cv2.drawContours(img,[a],-1,(0,255,0), 1)
centroid = cv2.moments(a)
cx = int(centroid["m10"]/ centroid["m00"])
cy = int(centroid["m01"]/ centroid["m00"])
cv2.circle(img,(cx,cy),1,(0,0,0),0)
cv2.putText(img, "Purple", (cx-10, cy-1), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (255,255,255))
purple=purple+1
for a in borderc10:
Carea = cv2.contourArea(a)
if Carea > 10:
cv2.drawContours(img,[a],-1,(0,255,0), 1)
centroid = cv2.moments(a)
cx = int(centroid["m10"]/ centroid["m00"])
cy = int(centroid["m01"]/ centroid["m00"])
cv2.circle(img,(cx,cy),1,(0,0,0),0)
cv2.putText(img, "Pink", (cx-10, cy-10), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (255,255,255))
pink=pink+1
for a in borderc11:
Carea = cv2.contourArea(a)
if Carea > 10:
b=cv2.drawContours(img,[a],-1,(0,255,0), 1)
centroid = cv2.moments(a)
cx = int(centroid["m10"]/ centroid["m00"])
cy = int(centroid["m01"]/ centroid["m00"])
cv2.circle(img,(cx,cy),1,(0,0,0),0)
cv2.putText(img, "Gray", (cx-10, cy-10), cv2.FONT_HERSHEY_SIMPLEX, 0.4, (255,255,255))
gray=gray+1
total= red+orange+yellow+green+lightblue+blue+violet+purple+pink+gray
per = 0
per1 = 0
per2 = 0
per3 = 0
per4 = 0
per5 = 0
per6 = 0
per7 = 0
per8 = 0
per9 = 0
print("------------Ratio of Colours------------")
per = ((red/total)*100)
per1 = ((orange/total)*100)
per2 = ((yellow/total)*100)
per3 = ((green/total)*100)
per4 = ((lightblue/total)*100)
per5 = ((blue/total)*100)
per6 = ((violet/total)*100)
per7 = ((purple/total)*100)
per8 = ((pink/total)*100)
per9 = ((gray/total)*100)
list1= [per,per1,per2,per3,per4,per5,per6,per7,per8,per9]
print("Red",per)
print("Orange",per1)
print("Yellow",per2)
print("Green",per3)
print("Light Blue",per4)
print("Blue",per5)
print("Violet",per6)
print("Purple",per7)
print("Pink",per8)
print("Gray",per9)
print("\nThe Percentage of Prominant colour is:",max(list1))
cv2.imshow("shapes", img)
print("-------------------Count-----------------")
print("Red",red)
print("Orange",orange)
print("Yellow",yellow)
print("Green",green)
print("Blue",blue)
print("Light Blue",lightblue)
print("Blue",blue)
print("Violet",violet)
print("Purple",purple)
print("Pink",pink)
print("Gray",gray)
cv2.waitKey(0)
cv2.destroyAllWindows()