public static void split(Mat m, List<Mat> mv) 參數(shù)一：m，待分離的多通道圖像 參數(shù)二：mv，分離后的單通道圖像 操作

override fun onCreate(savedInstanceState: Bundle?) { super.onCreate(savedInstanceState) mBinding = DataBindingUtil.setContentView(this, R.layout.activity_channel_split_merge) mBgr = Utils.loadResource(this, R.drawable.test) val imgList = mutableListOf<Mat>() Core.split(mBgr, imgList) mChannelB = imgList[0] mChannelG = imgList[1] mChannelR = imgList[2]}通道合并API

public static void merge(List<Mat> mv, Mat dst) 參數(shù)一：mv，需要合并的圖像數(shù)組，其中每個(gè)圖像必須擁有相同的尺寸和數(shù)據(jù)類型 參數(shù)二：dst，合并后輸出的圖像，與mv[0]具有相同的尺寸和數(shù)據(jù)類型，通道數(shù)等于所有輸入圖像的通道數(shù)總和 操作

private fun showBGZero() { val zero = Mat.zeros(mBgr.rows(), mBgr.cols(), CvType.CV_8UC1) val list = mutableListOf<Mat>() list.add(zero) list.add(zero) list.add(mChannelR) val result = Mat() Core.merge(list, result) showMat(result) result.release()}private fun showBRZero() { val zero = Mat.zeros(mBgr.rows(), mBgr.cols(), CvType.CV_8UC1) val list = mutableListOf<Mat>() list.add(zero) list.add(mChannelG) list.add(zero) val result = Mat() Core.merge(list, result) showMat(result) result.release()}private fun showGRZero() { val zero = Mat.zeros(mBgr.rows(), mBgr.cols(), CvType.CV_8UC1) val list = mutableListOf<Mat>() list.add(mChannelB) list.add(zero) list.add(zero) val result = Mat() Core.merge(list, result) showMat(result) result.release()}private fun showSwitchBR() { val zero = Mat.zeros(mBgr.rows(), mBgr.cols(), CvType.CV_8UC1) val list = mutableListOf<Mat>() list.add(mChannelR) list.add(mChannelG) list.add(mChannelB) val result = Mat() Core.merge(list, result) showMat(result) result.release()}結(jié)果

github.com/onlyloveyd/…

以上就是Android基于opencv實(shí)現(xiàn)多通道分離與合并的詳細(xì)內(nèi)容，更多關(guān)于Android opencv實(shí)現(xiàn)多通道分離與合并的資料請(qǐng)關(guān)注好吧啦網(wǎng)其它相關(guān)文章！