Abstract
In clinical psychology and psychiatry, projective drawings are used to assess individual personality and holistic understanding of behavior. Especially, Koch developed a tree test, called Baum Test, for the purpose of medical practice and personality assessment. Since there is a poor objectivity and a low reliability in interpretations of drawing pictures when the projective drawing techniques are used, we integrated various image processing techniques to interpret the drawing picture of a mental disorder patient. The proposed analysis in this study was as follow: (1) the gray level histogram moment (GLHM) analysis, (2) the spatial gray level dependence method (SGLDM) analysis, (3) the gray level difference method (GLDM) analysis for the drawing picture, and (4)the singular value decomposition (SVD) method that is a factorization of a rectangular real or complex matrix, with many applications in image processing, (5) the Fourier analysis method that can isolate individual components of a compound waveform for the image, and (6)the clinical interpretation of the drawing picture based on the image analysis techniques. These image analysis techniques for projective tree test were utilized to interpret psychological process of a mental disorder.