Morphological Methods in Image Processing for Embedded Processors

This paper reports studies conducted on image processing with morphological methods. Morphological methods are based on mathematical morphology. These methods can analyze the spatial structure and shape of objects in a target image. We focused on the effectiveness of morphological methods for image processing on embedded processors. Several studies on this topic have been conducted and reported in [1]–[6]. The max-plus algebra-based morphological wavelet transform (MMT) is suitable for parallel processing on simple low-power embedded processors [1]. The adaptive multidirectional max-plus algebra-based morphological wavelet transform (AM-MMT) captures directional features of objects in an image for data compression [6]. MMT watermarking is a data-embedding algorithm for highly parallel processing [2]. The morphological pattern spectrum used for detecting image manipulation extracts information on target objects in an image and detects several image manipulations [3]–[5]. Research on these topics opens up potential for various applications of morphological methods. We plan to continue research on morphological-method-based image-processing algorithms for embedded processors.

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