Statistical Image Analysis of Psychological Projective Drawings
Kazuhisa Takemura*, Iyuki Takasaki*, and Yumi Iwamitsu**
*Department of Psychology, Waseda University, 1-24-1 Toyama, Shinjuku-Ku, Tokyo 162-8644, Japan
**Department of Medical Psychology, Graduate School of Medical Sciences, Kitasato University, 1-15-1 Kitasato, Sagamihara City, Kanagawa 228-8555, Japan
We propose statistical image analysis for psychological projective drawings to facilitate assessing the reliability of the projective drawing making the determination of its validity difficult. Standard analysis involves (1) drawing a picture, (2) scanning the drawing, (3) dividing the drawing, (4) analyzing the gray level histogram moment (GLHM), (5) applying spatial gray level dependence method (SGLDM), (6) applying the gray level difference method (GLDM) for the drawing, and (7) interpreting the drawing. To demonstrate the proposed procedure, we used the tree test (Baum test). Three adults were presented with blank A4 paper and asked to draw a picture of a tree with fruit on it. Drawings were analyzed by statistical image analysis and results interpreted clinically.