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In this paper, there are details of the continuation of the development of the previously designed multifunctional morphological system and a description of how the system has been upgraded by including soft morphological operators as their ability to compensate for noise by varying the k-value of the system and how this is of great importance in image processing. This paper will cover the details of the upgrade process to include a greater number of logical functions than its predecessor, how a biasing system was included to brighten or dim a certain quadrant of the image or the entire image, how images are combined in either a product, mathematical or logical block and finally how the control mechanism is interfaced so that there are no signal clashes and that complicated strings of possibly many merged or biased images can be processed and outputted. The testing process will be discussed where each layer is tested for k-value and extra operations which are then compared to MATLAB test images from the Image Processing Toolbox or hand written m-files as a basis for comparison. The paper will also include how certain areas have been made more efficient to make the system faster and to reduce space on the FPGA by reducing the number of convolution kernels compared to the latter.

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