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OUTDOOR STRUCTURE PORTION SPECIFICATION DEVICE, OUTDOOR STRUCTURE PORTION SPECIFICATION METHOD, AND OUTDOOR STRUCTURE PORTION SPECIFICATION PROGRAM
To provide a device which highly accurately specifies a portion of an outdoor structure with machine learning by an artificial intelligence.SOLUTION: An outdoor structure portion specification device comprises: an image acquisition unit which acquires a first image of a first outdoor structure including a plurality of portions; a boundary decision unit which decides a boundary between the first outdoor structure and the portions of the first outdoor structure in the first image; a specification unit 203 which specifies a type of the first outdoor structure and the portions of the first outdoor structure on the basis of the boundary; a colored image generation unit which generates a colored first image by coloring each portion in accordance with the portions; a model generation unit which inputs the type of the first outdoor structure, the colored first image and the first image to an artificial intelligence for machine learning to generate a learned outdoor structure portion specification model; a reception unit which receives the input of a second image of a second outdoor structure including a plurality of portions; and a specification unit 207 which specifies a type of the second outdoor structure and the portions of the second structure in the second image by using the learned outdoor structure portion specification model.SELECTED DRAWING: Figure 2
【課題】屋外構造物の部位を、人工知能による機械学習によって、精度高く特定する装置を提供する。【解決手段】屋外構造物部位特定装置は、複数の部位を含んで構成される第1屋外構造物の第1画像を取得する画像取得部と、第1画像中の第1屋外構造物及び第1屋外構造物の部位の境界を決定する境界決定部と、境界に基づいて第1屋外構造物の種類及び第1屋外構造物の部位を特定する特定部203と、部位の夫々に部位に応じて色付けして色付き第1画像を生成する色付き画像生成部と、第1屋外構造物の種類、色付き第1画像及び第1画像を人工知能に入力して機械学習させて、学習済み屋外構造物部位特定モデルを生成するモデル生成部と、複数の部位を含んで構成される第2屋外構造物の第2画像の入力を受け付ける受付部と、学習済み屋外構造物部位特定モデルを用いて、第2画像中の第2屋外構造物の種類及び第2構造物の部位を特定する特定部207と、を備える。【選択図】図2
OUTDOOR STRUCTURE PORTION SPECIFICATION DEVICE, OUTDOOR STRUCTURE PORTION SPECIFICATION METHOD, AND OUTDOOR STRUCTURE PORTION SPECIFICATION PROGRAM
To provide a device which highly accurately specifies a portion of an outdoor structure with machine learning by an artificial intelligence.SOLUTION: An outdoor structure portion specification device comprises: an image acquisition unit which acquires a first image of a first outdoor structure including a plurality of portions; a boundary decision unit which decides a boundary between the first outdoor structure and the portions of the first outdoor structure in the first image; a specification unit 203 which specifies a type of the first outdoor structure and the portions of the first outdoor structure on the basis of the boundary; a colored image generation unit which generates a colored first image by coloring each portion in accordance with the portions; a model generation unit which inputs the type of the first outdoor structure, the colored first image and the first image to an artificial intelligence for machine learning to generate a learned outdoor structure portion specification model; a reception unit which receives the input of a second image of a second outdoor structure including a plurality of portions; and a specification unit 207 which specifies a type of the second outdoor structure and the portions of the second structure in the second image by using the learned outdoor structure portion specification model.SELECTED DRAWING: Figure 2
【課題】屋外構造物の部位を、人工知能による機械学習によって、精度高く特定する装置を提供する。【解決手段】屋外構造物部位特定装置は、複数の部位を含んで構成される第1屋外構造物の第1画像を取得する画像取得部と、第1画像中の第1屋外構造物及び第1屋外構造物の部位の境界を決定する境界決定部と、境界に基づいて第1屋外構造物の種類及び第1屋外構造物の部位を特定する特定部203と、部位の夫々に部位に応じて色付けして色付き第1画像を生成する色付き画像生成部と、第1屋外構造物の種類、色付き第1画像及び第1画像を人工知能に入力して機械学習させて、学習済み屋外構造物部位特定モデルを生成するモデル生成部と、複数の部位を含んで構成される第2屋外構造物の第2画像の入力を受け付ける受付部と、学習済み屋外構造物部位特定モデルを用いて、第2画像中の第2屋外構造物の種類及び第2構造物の部位を特定する特定部207と、を備える。【選択図】図2
OUTDOOR STRUCTURE PORTION SPECIFICATION DEVICE, OUTDOOR STRUCTURE PORTION SPECIFICATION METHOD, AND OUTDOOR STRUCTURE PORTION SPECIFICATION PROGRAM
屋外構造物部位特定装置、屋外構造物部位特定方法および屋外構造物部位特定プログラム
IWASHITA MASAYA (author) / YAMAGUCHI OSAMU (author) / TSUNODA MASAAKI (author) / UMEDA TAKAHIRO (author)
2021-09-16
Patent
Electronic Resource
Japanese
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