We present a novel approach for solving the text segmentation problem in natural scene images. The proposed algorithm uses the normalized graph cut(Ncut) as the measure for spectral clustering, and the weighted matrices used in evaluating the graph cuts are based on the gray levels of an image, rather than the commonly used image pixels. Thus, the proposed algorithm requires much smaller spatial costs and much lower computation complexity. Experiments show the superior performance of the proposed method compared to the typical thresholding algorithms
We propose a novel approach for solving the perceptual grouping problem in vision. Rather than focus...
In this paper we propose an hybrid method for the image segmentation which combines the edge-based, ...
This proposed method is an accurate and strong method for detecting texts in natural scene images. T...
An innovative novel approach for solving the text segmentation problem in natural scene images is pr...
Before the step for text recognition, a text image needs to be segmented into foreground containing ...
We present a novel approach of binarization for gray images. The proposed algorithm uses the normali...
This paper proposes a new approach for the text detection and extraction in image. The novelty of ou...
Segmentation of the text lines in an un-constrained handwritten documents still a challenging task b...
In this paper, we propose a novel graph based clustering approach with satisfactory clustering perfo...
The humans have sense organs to sense the outside world. In these organs eyes are vital. The human e...
Significant progress in image segmentation has been made by viewing the problem in the framework of ...
The current approach for text binarization proposes a clustering algorithm as a preprocessing stage ...
We present a multiscale spectral image segmentation algorithm. In contrast to most multiscale image ...
This research deals with the problem of text segmentation in scene images. Introduction deals with t...
The image segmentation is often used to trace the thing and bounds like line and curves in a picture...
We propose a novel approach for solving the perceptual grouping problem in vision. Rather than focus...
In this paper we propose an hybrid method for the image segmentation which combines the edge-based, ...
This proposed method is an accurate and strong method for detecting texts in natural scene images. T...
An innovative novel approach for solving the text segmentation problem in natural scene images is pr...
Before the step for text recognition, a text image needs to be segmented into foreground containing ...
We present a novel approach of binarization for gray images. The proposed algorithm uses the normali...
This paper proposes a new approach for the text detection and extraction in image. The novelty of ou...
Segmentation of the text lines in an un-constrained handwritten documents still a challenging task b...
In this paper, we propose a novel graph based clustering approach with satisfactory clustering perfo...
The humans have sense organs to sense the outside world. In these organs eyes are vital. The human e...
Significant progress in image segmentation has been made by viewing the problem in the framework of ...
The current approach for text binarization proposes a clustering algorithm as a preprocessing stage ...
We present a multiscale spectral image segmentation algorithm. In contrast to most multiscale image ...
This research deals with the problem of text segmentation in scene images. Introduction deals with t...
The image segmentation is often used to trace the thing and bounds like line and curves in a picture...
We propose a novel approach for solving the perceptual grouping problem in vision. Rather than focus...
In this paper we propose an hybrid method for the image segmentation which combines the edge-based, ...
This proposed method is an accurate and strong method for detecting texts in natural scene images. T...
Add to ORKG