Open AccessBook
An introduction to digital image processing
About:
The article was published on 1986-01-01 and is currently open access. It has received 1745 citations till now. The article focuses on the topics: Digital image processing & Image processing.read more
Citations
More filters
Journal ArticleDOI
A novel approach to text binarization via a diffusion-based model
B. A. Jacobs,Ebrahim Momoniat +1 more
TL;DR: This paper presents a new approach to document image binarization based on the dynamic process of diffusion, coupled with a nonlinear Fitzhugh-Nagumo type source term that exhibits binarizing properties that is robust to noise and able to successfully binarize an input document image.
Journal ArticleDOI
Contour Restoration of Text Components for Recognition in Video/Scene Images
Yirui Wu,Palaiahnakote Shivakumara,Tong Lu,Chew Lim Tan,Michael Blumenstein,Govindaraj Hemantha Kumar +5 more
TL;DR: Experimental results on benchmark databases show that the proposed technique outperforms the existing techniques in terms of both quality measures and recognition rate, and it is shown that character contour restoration is effective for text detection in video and natural scene images.
Journal ArticleDOI
Segmentation of liver cyst in ultrasound image based on adaptive threshold algorithm and particle swarm optimization
TL;DR: Experimental results demonstrate that the proposed segmentation of liver cyst for ultrasound image through combining Wellner’s thresholding algorithm with particle swarm optimization (PSO) is reliable on segmenting the contour of liver Cyst and identifying single or multiple liver cysts.
Journal ArticleDOI
Automated podosome identification and characterization in fluorescence microscopy images
TL;DR: A quantitative image analysis algorithm is developed that is optimized to identify podosome cores within a typical sample stained with phalloidin and reveals a previously unappreciated differential distribution of cytoskeletal adaptor proteins within the Podosome ring.
Journal ArticleDOI
Robust Registration of Cloudy Satellite Images Using Two-Step Segmentation
TL;DR: The experiments show that the proposed method provides segmentation accuracy of 93.29% and registration accuracy is improved by 24.83%, as compared with conventional methods.
Related Papers (5)
Survey over image thresholding techniques and quantitative performance evaluation
Mehmet Sezgin,Bulent Sankur +1 more