Abstract:  Drawing psychoanalysis method is widely used in the discovery and treatment of psychological illness and mental disorders. The House-Tree-Person （HTP） test is the most representative drawing psychoanalysis method， which projects the individual’s psychological state through the houses， trees， and persons drawn by the patient. Compared with the psychological health questionnaire， it has the advantages of being non-verbal， projective， and creative， and can systematically release the subconscious. At present， the HTP test is tested and evaluated by the therapist， which takes a long time in large-scale psychological screening， and the evaluation results will be affected by the experience and subjectivity of the therapist. Therefore， it is necessary to establish an automated method to improve the objectivity， reliability， and efficiency of the HTP test. The paper proposes an automated drawing screening method for the HTP test based on the relationship between psychological states and drawing features. The method extracts key features such as the size， position， and shadow of the drawing， and combines these features to build a psychological state classifier. This method can effectively screen out negative drawings for further diagnosis and treatment. At the same time， this paper collects the test drawing of HTP from the psychological counseling centers of the college and makes HTP dataset for experiments. Experimental results prove the superiority and application value of this method.

Key words:  , image classification, feature extraction, drawing psychoanalysis, HTP test