濃淡図形からの線要素の抽出とパターンの認識

概要

論文の詳細を見る
An experiment on line extraction and pattern detection in a photograph is performed. From digitized pictures which have eight gray levels, the value and direction of the steepest descent is first calculated for each point with 3 x 3 meshes. Then those points whose gradient is more than a certain threshold value are regarded as component points of line segments. From these points the estimation is extend the line portions as far as possible to the neighbouring ones. Another method tried is the application of Laplacian operetor. The pattern detection is done mainly for done mainly for the photographs of human faces which are in front direction. A standard pattern of a front face is stored in a computer and the correlation method is adopted for the detection. For many photographs of human faces in several conditions the whole algorithm has been tested with considerable success.
一般社団法人情報処理学会の論文
1969-05-15