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I need to detect the color of an online image and save it in the name of the detected color.
imageurl='http://www.example.com/'
opener1 = urllib2.build_opener()
page1=opener1.open(imageurl)
my_picture=page1.read()
fout = open('images/tony'+image[s], "wb")
fout.write(my_picture)
fout.close()
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KMeans algorithm creates clusters based on the supplied count of clusters. In our case, it will form clusters of colors and these clusters will be our top colors. We then fit and predict on the same image to extract the prediction into the variable labels . We use Counter to get count of all labels.
OpenCV has some built-in functions to perform Color detection and Segmentation operations. So what are Color Detection and Segmentation Techniques in Image Processing? Color detection is a technique of detecting any color in a given range of HSV (hue saturation value) color space.
Colour sensors detect colours by emitting light (RGB, red, green, blue) to a surface. The colour values are calculated from the reflecting beams and compared with previously stored reference values.
A color detection algorithm identifies pixels in an image that match a specified color or color range. The color of detected pixels can then be changed to distinguish them from the rest of the image.
Use a PIL (Python Image Library) histogram. Loop over the histogram and take the average of pixel color weighed by the pixel count.
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