NadKuris's profile - activity

in my project I need to detect lines in image. I actually have to detect rows and columns inside rectangle. I use OpenCV to accomplish this. I have done it succesfuly but it's kinda slow. I use many functions to preprocess the image - e.g. thresholding, canny, dilation, gaussian blur etc.

I use HoughLines like this

Imgproc.HoughLines(image, lines, 1, Math.PI/90 , threshold, minLineSize, maxGap);

It takes about 2.5 s to complete my program which has ~ 600 lines. But on this one line it takes 2.2 s. As you can see I use Java interface for OpenCV. Is it possible to optimize it someway? Would rewriting my program to NDK make it faster? If I understand OpenCV4Android, than it's just wrapper for functions written in NDK, so I don't think it would be faster. Or is there better and faster approach to detect lines in image? Thanks for any advice.

Can someone guide me how to make it with static initialization in Android Studio? Thanks

There's tutorial for Eclipse - http://docs.opencv.org/doc/tutorials/introduction/android_binary_package/dev_with_OCV_on_Android.html#application-development-with-static-initialization.

Can someone guide me how to make it with static initialization in Android Studio? Thanks

There's tutorial for Eclipse - http://docs.opencv.org/doc/tutorials/introduction/android_binary_package/dev_with_OCV_on_Android.html#application-development-with-static-initialization.