公开(公告)号：US10783610B2

公开(公告)日：2020-09-22

申请号：US15752430

申请日：2016-12-13

Applicant: Motion Metrics International Corp.

Inventor： Shahram Tafazoli Bilandi ,  Mahdi Ramezani ,  Ian Law Bell ,  Mohammad Sameti ,  Purang Abolmaesumi ,  Saman Nouranian

IPC: G06K9/00 ,  G06T3/40 ,  G06N3/04 ,  G06K9/46 ,  G06K9/34 ,  G06K9/62 ,  G06T7/50 ,  G06T7/13 ,  G06N3/08 ,  G06T1/20 ,  G06T1/60

Abstract: A method and apparatus for processing an image of fragmented material to identify fragmented material portions within the image is disclosed. The method involves receiving pixel data associated with an input plurality of pixels representing the image of the fragmented material. The method also involves processing the pixel data using a convolutional neural network, the convolutional neural network having a plurality of layers and producing a pixel classification output indicating whether pixels in the input plurality of pixels are located at one of an edge of a fragmented material portion, inwardly from the edge, and at interstices between fragmented material portions. The convolutional neural network includes at least one convolution layer configured to produce a convolution of the input plurality of pixels, the convolutional neural network having been previously trained using a plurality of training images including previously identified fragmented material portions. The method further involves processing the pixel classification output to associate identified edges with fragmented material portions.

公开(公告)号：US20190012768A1

公开(公告)日：2019-01-10

申请号：US15752430

申请日：2016-12-13

Applicant: Motion Metrics International Corp.

Inventor： Shahram Tafazoli Bilandi ,  Mahdi Ramezani ,  Ian Law Bell ,  Mohammad Sameti ,  Purang Abolmaesumi ,  Saman Nouranian

IPC: G06T3/40 ,  G06N3/08 ,  G06T7/13 ,  G06T7/50 ,  G06K9/62 ,  G06T1/20 ,  G06T1/60

Abstract: A method and apparatus for processing an image of fragmented material to identify fragmented material portions within the image is disclosed. The method involves receiving pixel data associated with an input plurality of pixels representing the image of the fragmented material. The method also involves processing the pixel data using a convolutional neural network, the convolutional neural network having a plurality of layers and producing a pixel classification output indicating whether pixels in the input plurality of pixels are located at one of an edge of a fragmented material portion, inwardly from the edge, and at interstices between fragmented material portions. The convolutional neural network includes at least one convolution layer configured to produce a convolution of the input plurality of pixels, the convolutional neural network having been previously trained using a plurality of training images including previously identified fragmented material portions. The method further involves processing the pixel classification output to associate identified edges with fragmented material portions.

公开(公告)号：US09418309B2

公开(公告)日：2016-08-16

申请号：US14488033

申请日：2014-09-16

Applicant: MOTION METRICS INTERNATIONAL CORP.

Inventor： Shahram Tafazoli Bilandi ,  Mohammad Sameti ,  Nima Ziraknejad ,  Aylin Azmin ,  Ian Law Bell ,  Hou-Yin Daniel Ko

IPC: G06K9/00 ,  G06K9/46

CPC classification number: G06K9/4604 ,  G06K9/00201 ,  G06K9/00208

Abstract: A method and apparatus for performing a fragmentation assessment of a material including fragmented material portions is disclosed. The method involves receiving two-dimensional image data representing a region of interest of the material, and processing the 2D image data to identify features of the fragmented material portions. The method also involves receiving a plurality of three dimensional point locations on surfaces of the fragmented material portions within the region of interest, identifying 3D point locations within the plurality of three dimensional point locations that correspond to identified features in the 2D image, and using the identified corresponding 3D point locations to determine dimensional attributes of the fragmented material portions.

Abstract translation: 公开了一种用于对包括碎片材料部分的材料进行碎片评估的方法和装置。 该方法包括接收表示材料的感兴趣区域的二维图像数据，并处理2D图像数据以识别碎片材料部分的特征。 该方法还包括在感兴趣区域内的碎片材料部分的表面上接收多个三维点位置，识别与2D图像中识别的特征相对应的多个三维点位置内的3D点位置，并且使用 识别相应的3D点位置以确定碎片材料部分的尺寸属性。