Many current general purpose processors use extensions to the instruction set architecture to enhance the performance of digital image processing and multimedia applications. In this paper, a MATLAB Application Program Interface (API) is constructed for the performance evaluation of Intel image processing functions. The Intel image processing functions are constructed for high performance opera...

Contents: 1. Introduction 1.1. Why digital geometry? 1.2. Why mathematical morphology? 2. Morphological operations on sets and functions 2.

This paper presents the design and VLSI implementation of a new ASIC which performs in real-time the morphological operations of dilation and erosion. The ASIC's architecture is based on the extension of the majority-gate algorithm for morphological operations. The ASIC was implemented using a DLM, 0.7 ìm, CMOS, N-well process and it occupies a silicon area of 14.78mm2. Its maximum speed of ope...

This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the training of the neural network is done by finding the solution without considering the exact connectivity of the network. Looking for the set of weights and architecture in a reduced search space, this simple, but powerful...

One of the most important features in image analysis and understanding is shape. Mathematical morphology is the image processing branch that deals with shape analysis. The definition of all morphological transformations is based on two primitive operations, i.e. dilation and erosion. Since many applications require the solution of morphological problems in real time, researching time efficient ...