Maximally stable extremal regions MSER is a state-of-the-art method in local feature detection. However, this method is sensitive to blurring because, in blurred images, the intensity values in region boundary will vary more slowly, and this will undermine the stability criterion that the MSER relies on. In this paper, we propose a method to improve MSER, making it more robust to image blurring...

Adaptive digital filtering has traditionally been developed based on the minimum mean square error (MMSE) criterion and has found ever-increasing applications in communications. This paper presents an alternative adaptive filtering design based on the minimum symbol error rate (MSER) criterion for communication applications. It is shown that the MSER filtering is smarter, as it exploits the non...

Image alignment is an essential task in many applications of hyperspectral remote sensing images. Before any processing, the images must be registered. The Maximally Stable Extremal Regions (MSER) a feature detection algorithm that extracts regions by thresholding image at different grey levels. These extremal are invariant to transformations making them ideal for registration. Scale-Invariant ...

Adaptive beamforming is capable of separating user signals transmitted on the same carrier frequency, and thus provides a practical means of supporting multiusers in a space-division multipleaccess scenario. Moreover, for the sake of further improving the achievable bandwidth efficiency, highthroughput quadrature amplitude modulation (QAM) schemes have becomes popular in numerous wireless netwo...

This work aim one’s effort is to estimate tentative correspondence in a wide baseline image pairs with a new method called True Tentative Correspondences (TTC). This method use Maximally Stable Extremal Regions (MSER) as features which were put into correspondence. Input to our algorithm is a widebaseline image pair and output is a set where one element consist of eight tentative correspondence...

We introduce the concept of edge-based component-trees for images with an arbitrary number of channels. The approach is a natural extension of the classical component-tree devoted to gray-scale images. The similar structure enables the translation of many gray-level image processing techniques based on the componenttree to hyperspectral and color images. As an example application, we present an...

Bertambahnya jumlah mahasiswa Universitas xyz Yogyakarta pada setiap tahun diimbangi dengan kendaraan yang digunakan, perlu diperhatikan untuk mengembangkan kecerdasan efisien dan juga sistem transportasi aman. Beberapa penelitian metode pengenalan plat telah menunjukkan kinerja menjanjikan, namun beberapa mungkin terdapat kelemahan situasi variasi posisi orientasi plat, pencahyaan, latar belak...