PARTICLE SIZE MEASURING DEVICE AND PARTICLE SIZE MEASURING PROGRAM

To accurately measure a particle size of a granular material.SOLUTION: A depth image acquisition section 26 acquires a depth image which expresses a front surface of a loaded matter of a granular material and where each one of pixels is a depth value. Then, a detection section 30 defines each one of...

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Bibliographische Detailangaben
Hauptverfasser:	FUJITA YUKISHIGE, SHIIBA TAKEHISA, FUKUDA YOSHIO, SHIRAI KENTARO
Format:	Patent
Sprache:	eng ; jpn
Schlagworte:	CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING MEASURING ANGLES MEASURING AREAS MEASURING IRREGULARITIES OF SURFACES OR CONTOURS MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS PHYSICS TESTING
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Beschreibung
Zusammenfassung:	To accurately measure a particle size of a granular material.SOLUTION: A depth image acquisition section 26 acquires a depth image which expresses a front surface of a loaded matter of a granular material and where each one of pixels is a depth value. Then, a detection section 30 defines each one of partial images of the depth image as an input so as to detect the granular material from the depth image with the use of a pre-learnt neural network model for determining whether the partial images express the granular material. A measurement section 34 measures a particle size of the granular material from the detection result of the granular material.SELECTED DRAWING: Figure 2 【課題】粒状材料の粒径を精度よく計測することを目的とする。【解決手段】深さ画像取得部２６が、前記粒状材料の集積物の表面を表す画像であって、各画素が、奥行き値である深さ画像を取得する。そして、検出部３０が、前記深さ画像の各部分画像を入力とし、前記部分画像が粒状材料を表すか否かを判定する予め学習されたニューラルネットワークモデルを用いて、前記深さ画像から前記粒状材料を検出する。計測部３４が、前記粒状材料の検出結果から、前記粒状材料の粒径を計測する。【選択図】図２