leftruby.blogg.se - Hugin 2014

click on the polygon in the listbox on the leftĬlick somewhere not on the mask's row in the listbox on the left.

use rubberband around polygon, this works only when the active polygon has no selected points.

You can also use your delete key when all or none of the points of the current mask are selected. You can delete the active mask by selecting it and clicking the Delete mask button by the listbox on the left. Finish polygon with right mouse button click or double left click. The listbox below shows all masks of the active image.Īfter selecting add new mask set polygon points with left mouse click. The top-left side of the masks window shows a list of all images in the current project. Be careful to exclude a part of one photo only if some other photo shows the same part of the scene, otherwise you will get a black empty area in your final panorama. Often it sufficient to roughly enclose the area to be included or excluded. Therefore it is not always necessary to carefully define a mask exactly on the boundary of an object. They are more like hints for the blender. Blend masking allows you to define an include region which the blender will try to incorporate into the final stitch, as well as an exclude region which the blender will try to keep out of the stitch.īlend masks are not like normal "cut and paste" masking.

This can result in a person or object being cut by the seam and only partly appearing in the final stitch. The blender (default is Enblend) may place a seam on any part of the overlap between photos.

Note that you have to select an image in the top left before the functionality of both will be enabled. The Masks tab has in the mid-section on the left side two sub-tabs Masks and Crop, each with its own functionality. Cropping one or more of your individual images, as you would do for, e.g., fisheye Projection images having a circular area in the middle with a useless black area outside, or scanned images that might have edges that need to be cropped away.Creating masks for individual images that include or exclude specific parts of these individual images in your final panorama.Questions or comments about HUGIn, please contact jsmartin at. Ay F, Bailey TL and Noble WS (2014) Statistical confidence estimation for Hi-C data reveals regulatoryĬhromatin contacts.Jin F, Li Y, Dixon JR, Selvaraj S, Ye Z, Lee AY, Yen CA, Schmitt AD, Espinoza CA and Ren B (2013) A high-resolution map of the three-dimensional chromatin interactome in human cells.(2016) A hidden Markov random field based Bayesian method for the detection of long-range chromosomal interactions in Hi-C data. Xu Z, Zhang G, Jin F, Chen M, Furey TS, Sullivan PF, Qin ZS, Hu M and Li Y.(2016) FastHiC: a fast algorithm to detect long-range chromosomal interactions from Hi-C data. (2016) A compendium of chromatin contact maps reveal spatially active regions in the human genome. Schmitt AD, Hu M, Jung I, Xu Z, Qiu Y, Tan CL, Li Y, Lin S, Lin Y, Barr CL and Ren B.(2017) HUGIn: Hi-C Unifying Genomic Interrogator. Martin JS, Xu Z, Reiner AP, Mohlke KL, Sullivan P, Ren B, Hu M, and Li Y.