{"title":"On-line fragmentation measurement utilizing the CIAS(R) system","authors":"D. Downs, B. Kettunen","doi":"10.1201/9780203747919-13","DOIUrl":"https://doi.org/10.1201/9780203747919-13","url":null,"abstract":"","PeriodicalId":284411,"journal":{"name":"Measurement of Blast Fragmentation","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128372642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Blast fragmentation measurement using GoldSize","authors":"T. Kleine, A. Cameron","doi":"10.1201/9780203747919-14","DOIUrl":"https://doi.org/10.1201/9780203747919-14","url":null,"abstract":"","PeriodicalId":284411,"journal":{"name":"Measurement of Blast Fragmentation","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120949542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"WipFrag image based granulometry system","authors":"N. Maerz, Tom C. Palangio, J. Franklin","doi":"10.1201/9780203747919-15","DOIUrl":"https://doi.org/10.1201/9780203747919-15","url":null,"abstract":"Quick and accurate measurements of size distribution are essential to managing fragmented rock and other materials. WipFrag is an automated image based granulometry system that uses digital image analysis of rock photographs and video tape images to determine grain size distributions. WipFrag images can be digitized from fixed video cameras in the field, or using roving camcorders. Photographic images can be digitized from slides, prints or negatives, using a desktop copy stand. Digital images in a variety of formats, delivered on disk or over electronic networks, can be used. WipFrag uses powerful image analysis techniques to isolate the individual fragment boundaries. Edge detection is optimized by setting Edge Detection Variables (EDV). Manual editing can be used to improve the fidelity of edge detection. WipFrag has the facilities for zoom-merge analysis, where the combined analysis of images taken at different scales of observation can be used to overcome the size limitations inherent with a single image. Alternatively, an empirical calibration mode is available.","PeriodicalId":284411,"journal":{"name":"Measurement of Blast Fragmentation","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114236712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Image sampling techniques and requirements for automated image analysis of rock fragmentation","authors":"N. Maerz","doi":"10.1201/9780203747919-18","DOIUrl":"https://doi.org/10.1201/9780203747919-18","url":null,"abstract":"When photographing or video taping rock fragmentation, sampling strategies have to be carefully considered, in order to produce an image that is both capable of being analyzed, and representative of the entire rock assemblage. A consideration is where the image is to be taken. It could be the top of a muckpile, the front edge or a cross section of the muc k pile as it is being mucked. It could be photographed in the back of a haulage truck, the bucket of a loader, or on a conveyor belt. Or it could be photographed in a stockpile. All strategies are valid, but each must be evaluated to ensure good picture quality (i.e. not obscured by dust), and representative sampling (i.e. not skewed because of some size sorting by mechanical processes). Another consideration is the scale of the image. At the very least, the area must be limited so that the individual blocks can be recognized by the image analysis algorithms. If zoom-merging techniques (images at different scales) are to be used, an appropriate strategy must be employed so that the relative number of images at each scale somewhat reflect the differences in scale. Furthermore, when zooming, care must be taken to avoid pointing the camera at zones of large or small blocks that might attract the eye. A final consideration is the angle of the surface being photographed with respect to the camera. Ideally the surface should be perpendicular to the direction the camera is pointed, as that eliminates perspective error. Perspective error can also be reduced by using camera lenses with long focal lengths where possible. As an alternative, the image can be rotated (tilted) to compensate for oblique angles. This requires two perpendicular scale bars to be appropriately placed in the image.","PeriodicalId":284411,"journal":{"name":"Measurement of Blast Fragmentation","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114496503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Block size determination around underground openings using simulations","authors":"N. Maerz, P. Germain","doi":"10.1201/9780203747919-31","DOIUrl":"https://doi.org/10.1201/9780203747919-31","url":null,"abstract":"The in situ block size of the rock mass may be the single most important parameter influencing the stability and strength of some underground openings. Rock masses can often reasonably be characterized by a simple size-strength classification. The actual block size distribution is the product of the interaction between the joint orientation, spacing and persistence of that rock mass. Despite the importance of in situ block size, it is currently difficult to quantify. Block size is typically estimated as one of three indices, Rock Quality Designation (RQD), Volumetric Joint Count (J v ), and Block Size Index (I b ). These, being index properties do not quantify actual block size. The Centre de Technologie Noranda has initiated standardized scanline mapping techniques for the purposes of characterizing the discontinuities. This data is being used to quantify block size. Algorithms have been developed which simulate the division of a specified volume of rock by a number of joints or joint sets. These joints can be generated stochastically, based on summary statistics and inferred distributions of the field data, or deterministically, using the actual joints measured along the scanline.","PeriodicalId":284411,"journal":{"name":"Measurement of Blast Fragmentation","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133884503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reconstructing 3-D block size distributions from 2-D measurements on sections","authors":"N. Maerz","doi":"10.1201/9780203747919-7","DOIUrl":"https://doi.org/10.1201/9780203747919-7","url":null,"abstract":"Measurement of particles, whether grains on a microscope slide or image of a muck or stock pile, is two dimensional. Principles of geometric probability and stereology can be used to reconstruct or unfold a three dimensional size distribution. This analytical solution or unfolding function can be calibrated with an empirical calibration function.","PeriodicalId":284411,"journal":{"name":"Measurement of Blast Fragmentation","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128780046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}