A machine vision approach to the grading of crushed aggregate

The grading of crushed aggregate is carried out usually by sieving. We describe a new image-based approach to the automatic grading of such materials. The operational problem addressed is where the camera is located directly over a conveyor belt. Our approach characterizes the information content of each image, taking into account relative variation in the pixel data, and resolution scale. In feature space, we find very good class separation using a multidimensional linear classifier. The innovation in this work includes (i) introducing an effective image-based approach into this application area, and (ii) our supervised classification using wavelet entropy-based features.

Reparation or retribution: an investigation into regulatory compliance in planning

It is an axiom of good planning practice that procedure is informed by up-to-date research. Consequently, it is surprising to discover that there remains a dearth of specialised planning-enforcement literature relating to theory and implementation. In this paper an evaluation is given of the effectiveness of planning enforcement in Britain by reviewing existing legislative mechanisms and strategies employed by officials. Theoretical perspectives are drawn upon to suggest how the system might be improved through attention to the structural factors underpinning it.