detailsEnchance giving error: (-215) (scn == 3 || scn == 4) && (depth == CV_8U || depth == CV_32F) in function cvtColor

detailEnhance#python

asked 2017-11-30 23:45:02 -0600

Santhosh1
318 ●11 ●15 ●37

updated 2017-11-30 23:45:42 -0600

I saw this link which helps enhance details in the image

This is my code

img = cv2.imread('p_45.png',0)
#Enhance the contrast
clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
cl1 = clahe.apply(img)

abs_lp1 = np.absolute(cl1)
i_8U = np.uint8(abs_lp1)

dst = cv2.detailEnhance(i_8U,sigma_s=10, sigma_r=0.15)

This is the error I'm getting

dst = cv2.detailEnhance(img,sigma_s=10, sigma_r=0.15)
cv2.error: /tmp/opencv3-20170817-33981-15wdezm/opencv-3.3.0/modules/imgproc/src/color.cpp:10724: error: (-215) (scn == 3 || scn == 4) && (depth == CV_8U || depth == CV_32F) in function cvtColor

What went wrong?

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This is wrong...i_8U = np.uint8(abs_lp1) Look in below code. It is same copied from sp mallick.

supra56 ( 2017-12-01 06:15:14 -0600 )edit

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answered 2017-12-01 00:49:04 -0600

berak
32993 ●7 ●81 ●312

updated 2017-12-01 00:54:58 -0600

you need a 3channel (color) input for this, yours is grayscale

>>> help(cv2.detailEnhance)
Help on built-in function detailEnhance:

detailEnhance(...)
    detailEnhance(src[, dst[, sigma_s[, sigma_r]]]) -> dst
    .   @brief This filter enhances the details of a particular image.
    .
    .   @Param src Input 8-bit 3-channel image.
    .   @Param dst Output image with the same size and type as src.
    .   @Param sigma_s Range between 0 to 200.
    .   @Param sigma_r Range between 0 to 1.

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@berak how do I convert an input image into a 8 bit color image?

Santhosh1 ( 2017-12-01 01:05:49 -0600 )edit

it tries to convert to Lab, so it will never work with the output from CLAHE

read you image as color one, and feed it straight to detailEnhance()

berak ( 2017-12-01 01:16:28 -0600 )edit

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answered 2017-12-01 06:13:15 -0600

supra56

943 ●9 ●6

Try this. It it working.

import cv2

# Read image
im = cv2.imread("cow.jpg")

# Edge preserving filter with two different flags.
imout = cv2.edgePreservingFilter(im, flags=cv2.RECURS_FILTER)
cv2.imwrite("edge-preserving-recursive-filter.jpg", imout)

imout = cv2.edgePreservingFilter(im, flags=cv2.NORMCONV_FILTER)
cv2.imwrite("edge-preserving-normalized-convolution-filter.jpg", imout)

# Detail enhance filter
imout = cv2.detailEnhance(im)
cv2.imwrite("detail-enhance.jpg", imout)

# Pencil sketch filter
imout_gray, imout = cv2.pencilSketch(im, sigma_s=60, sigma_r=0.07, shade_factor=0.05)
cv2.imwrite("pencil-sketch.jpg", imout_gray)
cv2.imwrite("pencil-sketch-color.jpg", imout)

# Stylization filter
cv2.stylization(im,imout)
cv2.imwrite("stylization.jpg", imout)

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detailsEnchance giving error: (-215) (scn == 3 || scn == 4) && (depth == CV_8U || depth == CV_32F) in function cvtColor

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detailsEnchance giving error: (-215) (scn == 3 || scn == 4) && (depth == CV_8U || depth == CV_32F) in function cvtColor edit

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detailsEnchance giving error: (-215) (scn == 3 || scn == 4) && (depth == CV_8U || depth == CV_32F) in function cvtColor