scispace - formally typeset
S

Siti Norul Huda Sheikh Abdullah

Researcher at National University of Malaysia

Publications -  248
Citations -  2079

Siti Norul Huda Sheikh Abdullah is an academic researcher from National University of Malaysia. The author has contributed to research in topics: Thresholding & Feature extraction. The author has an hindex of 18, co-authored 236 publications receiving 1489 citations. Previous affiliations of Siti Norul Huda Sheikh Abdullah include Universiti Teknologi Malaysia.

Papers
More filters
Journal ArticleDOI

An adaptive local binarization method for document images based on a novel thresholding method and dynamic windows

TL;DR: The results of the experiments show that the proposed method adapts well to all types of binarization challenges, can deal with higher numbers ofbinarization problems and boosts the overall performance of the binarizations.
Journal ArticleDOI

Automatic Detection and Quantification of WBCs and RBCs Using Iterative Structured Circle Detection Algorithm

TL;DR: The validation method used to determine segmentation accuracy was a quantitative analysis that included Precision, Recall, and F-measurement tests and the average accuracy of the proposed method was 95.3% for RBCs and 98.4% for WBCs.
Journal ArticleDOI

Skeletonization Algorithm for Binary Images

TL;DR: A new skeletonization algorithm is proposed which is combining between parallel and sequential which categorized under iterative approach and obtaining much better results comparing with other thinning methods.
Proceedings ArticleDOI

Investigation on Image Processing Techniques for Diagnosing Paddy Diseases

TL;DR: The main objective of this research is to develop a prototype system for diagnosing paddy diseases, which are Blast Disease (BD), Brown-Spot Disease (BSD), and Narrow Brown-spot Disease (NBSD), which has a very great potential to be further improved in the future.
Journal ArticleDOI

HSIC Bottleneck Based Distributed Deep Learning Model for Load Forecasting in Smart Grid With a Comprehensive Survey

TL;DR: A conceptual model of DDL for smart grids has been presented, where the HSIC (Hilbert-Schmidt Independence Criterion) Bottleneck technique has been incorporated to provide higher accuracy.