Many textile properties have traditionally been assessed using subjective methods dependent upon one or more of the human senses. It is generally accepted that these methods can be unreliable, and the development of more reliable and consistent objective measurement systems is a key objective for textile scientists. In this study, the application of an imaging system to the detailed objective measurement of the drape profiles of a range of wool fabrics, captured from a traditional drape tester, is investigated. Image processing and analysis software techniques are successfully implemented to enable, by the measurement of a number of key parameters, a full and automatic characterisation of the drape profiles reflecting visual impression. Drape coefficient values gathered via the instrumental technique correlate strongly with those established using the traditional cut and weigh approach. Strong parameter relationships are identified, and it is established that a three parameter combination of drape coefficient, number of nodes and variation in node severity would be required to enable good discrimination between the drape profiles of the fabric range under study.