![]() ![]() % change cursor shape to indicate drawing mode %ONMOUSEDOWN Event handler for mouse down on figure % make sure both figures are still open if ~all(ishghandle(handles.hFig)), return end % get current point and store it as starting pointĭata.prev_pt = getCurrentPoint(handles, data) %ONKEYPRESS Event handler for key press on figure % make sure both figures are still open if ~all(ishghandle(handles.hFig)), return end % handle keys switch lower(e.Key)Įnd end function onMouseDown(o,~,handles) 'Paint something on the left image using the mouse.' 'Close figures when done.' 'Hot keys:' ' r: restore the original image' ' q: quit the program' ' +/-: change stroke thickness (starts at 10)' P(2) = axes2pix(data.h, get(handles.hImg(1), 'YData'), p(2)) Įnd end Callback functions function onHelp(~,~) %HACK: AXES2PIX not implemented in Octave ![]() % convert axes coordinates to image pixel coordinates if ~mexopencv.isOctave() & mexopencv.require( 'images') function p = getCurrentPoint(handles, data) % load an image if nargin 0, varargout) Įnd % initialize structs of handles and data We need to create a mask of same size as that of input image, where non-zero pixels corresponds to the area which is to be "An image inpainting technique based on the fast marching method." Journal of graphics tools 9.1 (2004): Proceedings of the 2001 IEEE Computer Society Conference on, vol. In Computer Vision and Pattern Recognition, CVPR 2001. "Navier-stokes, fluid dynamics, and image and video inpainting." This algorithm is enabled by using Method = 'NS'. Once they are obtained,Ĭolor is filled to reduce minimum variance in that area. For this, some methods from fluid dynamics are used. Vectors at the boundary of the inpainting region. Isophotes (lines joining points with same intensity, just like contours joins points with same elevation) while matching gradient ![]() Itįirst travels along the edges from known regions to unknown regions (because edges are meant to be continuous). This algorithm is based on fluid dynamics and utilizes partial differential equations. Second algorithm is based on the paper "Navier-Stokes, Fluid Dynamics, and Image and Video Inpainting". This algorithm is enabled by using Method = 'Telea'. It just works like a manual heuristic operation. FMM ensures those pixels near the known pixels are inpainted first, so that To next nearest pixel using Fast Marching Method. The point, near to the normal of the boundary and those lying on the boundary contours. More weightage is given to those pixels lying near to Selection of the weights is an important matter. This pixel is replaced by normalized weighted sum of all the known pixels It takes a small neighbourhoodĪround the pixel on the neigbourhood to be inpainted. Of this region and goes inside the region gradually filling everything in the boundary first. Consider a region in the image to be inpainted. (Additional algorithms are implemented in cv.inpaint2, part of opencv_contrib).įirst algorithm is based on the paper "An Image Inpainting Technique Based on the Fast Marching Method". Both can be accessed by the same function,Ĭv.inpaint. Several algorithms were designed for this purpose and OpenCV provides two of them. Those bad marks with its neighbouring pixels so that it looks like the neigbourhood. In these cases, a technique called image inpainting is used. Of restoring it back? We can't simply erase them in a paint tool because it is will simply replace black structures with white Most of you will have some old degraded photos at your home with some black spots or some strokes on it. ![]()
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