Two algorithms for document image thresholding are presented, that are suitable for scanning document images at high-speed. They are designed to operate on a portion of the image while scanning the document, thus, they fit a pipeline architecture and lend themselves to real-time implementation. The first algorithm is based on adaptive thresholding and uses local edge information to switch betwe...

Two algorithms for document image thresholding are presented, that are suitable for scanning document images at high-speed. They are designed to operate on a portion of the image while scanning the document, thus, they fit a pipeline architecture and lend themselves to real-time implementation. The first algorithm is based on adaptive thresholding and uses local edge information to switch betwe...

In this study, a QRS detection algorithm with low processing load based on time-domain thresholding is proposed. The ECG signal filtered only pass filter to reduce the computational load. After filtering, derivation and squaring are also performed. Thresholding stage, linear decreasing threshold voltage method using addition operation instead of multiplication Simulations MIT-BIT Arrhythmia Dat...

This paper proposes a model for eliminating noise from ECG using α-trimmed thresholding. In this paper, the α-trimmed thresholding tested in the wavelet based Adaptive Filter Model. The Wavelet co-efficients at every sub-band level is made adapted by LMS algorithm to minimum mean square value and thresholded the adapted coefficients. It is shown that the proposed thresholding method offers vari...

In this paper, the RD-OPT algorithm for optimizing Discrete Cosine Transform quantization tables RL95] is extended to incorporate global thresholding. Performance gains are possible by zeroing oo some DCT coeecients in DCT-based image compression. We describe a global thresholding scheme, in which the zeroing thresholds for coeecients can be arbitrarily diierent from those determined by the qua...

in this paper, a novel matched filter based on a new kernel function with cauchy distribution is introduced to improve the accuracy ofthe automatic retinal vessel detection compared with other available matched filter‑based methods, most notably, the methods builton gaussian distribution function. several experiments are conducted to pick the best values of the parameters for the new designedfi...

We propose a fast pairwise nearest neighbor (PNN)based O(N log N) time algorithm for multilevel nonparametric thresholding, where N denotes the size of the image histogram. The proposed PNN-based multilevel thresholding algorithm is considerably faster than optimal thresholding. On a set of 8 to 16 bits-per-pixel real images, experimental results also reveal that the proposed method provides be...