opencv - How to deal with 8UC3 and 8UC4 simultaneously in android ndk -

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Using my code below, my code is working fine with the brightness in the image 

 < Code> jint * _in = env- & gt; GetIntArrayElements (in, 0); Jint * _out = env- & gt; GetIntArrayElements (outside, 0); Mat MSRC (height, width, CV_8 UC4, (unsigned char *) _); Mat bgra (height, width, CV_8 UC4, (unsigned char *) _ out); Of vector & lt; Mat & gt; SChannels; Division (MSRC, sChannels); For (int i = 0; i & lt; sChannels.size (); i ++) {MAT channel = sChannels [i]; EqualizeHist (channel, channel); } Merge (sChannels, bgra); Env-> Releaseintheatrelease (in, _in, 0); Env-> Release Initrements (Out, _out, 0); Jint Retal; Int rate = 1; Retal = h int (retal); Return rate;

This image also works for me to convert to grayscale, but in this way: 

  Mat mSrc (height, width, CV_8UC4, ( Unsigned char *) _in); Mat gray (height, width, cv_ 8 UC1); Mat bgra (height, width, CV_8 UC4, (unsigned char *) _ out); CvtColor (MSRC, Gray, CV_BGRA2GRAY); CvtColor (Gray, bgra, CV_GRAY2BGRA);

But when I'm trying to use bilateralfilter , which only works with 3 channels, how to deal with it? Because the Java bitmap accepts RGBA format, and when I am in the 

  Mat mSrc (height, width, CV_8UC3, (unsigned char *) _) Change; Mat bgra (height, width, cv_ 8 UC3, (unsigned char *) _);

Anyhow, bilateral filter shows me the output, but what if I applied all these filters to an image? How can I handle this problem? Because there may be other algorithms that work with only 3 channels.

If you call CV_8UC3 to CV_8UC4 Required to: 

  cvtColor (src, dst, CV_BGR2BGRA);

Because it produces a 4-channel image (R, G, B, and Alpha)

Inverted, 

  CvtColor (src, DST, CV_BGRA2BGR); Convert

from CV_8UC4 to CV_8UC3


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