scholarly journals Gray Level Image Threshold Using Neutrosophic Shannon Entropy

2019 ◽  
Author(s):  
Vasile Patrascu
Keyword(s):  
Shannon Entropy ◽  
Experimental Results ◽  
New Method ◽  
Gray Level ◽  
Segmentation Method ◽  
Separation Threshold ◽  
Multiple Thresholds ◽  
Gray Level Image ◽  
Information Components ◽  
Grayscale Images

This article presents a new method of segmenting grayscale images by minimizing Shannon's neutrosophic entropy. For the proposed segmentation method, the neutrosophic information components, i.e., the degree of truth, the degree of neutrality and the degree of falsity are defined taking into account the belonging to the segmented regions and at the same time to the separation threshold area. The principle of the method is simple and easy to understand and can lead to multiple thresholds. The efficacy of the method is illustrated using some test gray level images. The experimental results show that the proposed method has good performance for segmentation with optimal gray level thresholds.

Automatic Segmentation of Pores in Weld Images Based on Transition Region Extraction

2012 ◽  
Vol 217-219 ◽  
pp. 1964-1967
Author(s):  
Tong Tong ◽  
Yan Cai ◽  
Da Wei Sun ◽  
Peng Liu
Keyword(s):  
Transition Region ◽  
Automatic Segmentation ◽  
Experimental Results ◽  
Gray Level ◽  
Segmentation Method ◽  
Complex Environment ◽  
Weld Defects ◽  
Contrast Enhanced ◽  
Region Extraction ◽  
Low Pass

In allusion to the complex images of weld defects, weak contrast between the target and the background, a new segmentation method based on gray level difference transition region extraction is proposed. The paper analyzes the characteristic of weld defects, and then low-pass filtering and contrast enhanced are used to enhance the clarity. Finally, we extract the transition region and confirm a threshold for defects segmentation. The experimental results show that the method can extract the transition region more accurate, and segment the image much better in complex environment.

scholarly journals Applying Onicescu Information Energy for Gray Level Image Segmentation

2020 ◽  
Author(s):  
Vasile Patrascu
Keyword(s):  
Image Segmentation ◽  
Local Maximum ◽  
Energy Calculation ◽  
Gray Level ◽  
Segmentation Method ◽  
Gray Level Image ◽  
Information Energy

This article presents a method of segmenting images with gray levels that uses Onicescu's information energy calculated in the context of the neutrosophic theory. Starting from the information energy calculation for complete neutrosophic information, it is shown how to extend its calculation for incomplete and inconsistent neutrosophic information. The segmentation method is based on calculation of thresholds for separating the gray levels using the local maximum points of the Onicescu information energy.

SECURE IMAGE HIDING SCHEME BASED UPON VECTOR QUANTIZATION

2004 ◽  
Vol 18 (06) ◽  
pp. 1111-1130 ◽  
Author(s):  
YU-CHEN HU ◽  
MIN-HUI LIN
Keyword(s):  
Vector Quantization ◽  
Experimental Results ◽  
Cover Image ◽  
Quantization Scheme ◽  
Gray Level ◽  
Host Image ◽  
Image Hiding ◽  
Gray Level Image ◽  
Multiple Secret Images ◽  
Average Image

In this paper, a novel gray-level image-hiding scheme is proposed. The goal of this scheme is to hide multiple important gray-level images into another meaningful gray-level image. The secret images to be protected are first compressed using the vector quantization scheme. Then, the DES cryptosystem is conducted on the VQ indices and related parameters to generate the encrypted message. Finally, the encrypted message is embedded into the rightmost two bits of each pixel in the cover image. According to the experimental results, average image qualities of 44.320 dB and 30.885 dB are achieved for the embedded images and the retrieved secret images, respectively. In other words, multiple secret images can be effectively hidden into one host image of the same size. In addition, the proposed scheme strengthens the protection of the secret images by conducting the DES cryptosystem on the related parameters and the VQ indices of the compressed secret images. Therefore, the proposed scheme provides a secure approach to embed multiple important images into another meaningful image of the same size.

scholarly journals Gray Level Image Threshold Using Neutrosophic Certainty

2019 ◽  
Author(s):  
Vasile Patrascu
Keyword(s):  
New Method ◽  
Gray Level ◽  
Gray Level Image

This article presents a new method of segmenting images with gray levels. The method is based on determining several thresholds for separation of gray levels. The determination of these thresholds is done using the certainty of the neutrosophic information. The concept of this method can be stated simply: to choose the local maximums for the neutrosophic certainty.

scholarly journals Application of Positional Entropy to Fast Shannon Entropy Estimation for Samples of Digital Signals

Entropy ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. 1173
Author(s):  
Marcin Cholewa ◽  
Bartłomiej Płaczek
Keyword(s):  
Shannon Entropy ◽  
State Of The Art ◽  
Large Data ◽  
Experimental Results ◽  
New Method ◽  
Computational Experiments ◽  
Digital Signals ◽  
Theoretical Concepts ◽  
Entropy Estimation

This paper introduces a new method of estimating Shannon entropy. The proposed method can be successfully used for large data samples and enables fast computations to rank the data samples according to their Shannon entropy. Original definitions of positional entropy and integer entropy are discussed in details to explain the theoretical concepts that underpin the proposed approach. Relations between positional entropy, integer entropy and Shannon entropy were demonstrated through computational experiments. The usefulness of the introduced method was experimentally verified for various data samples of different type and size. The experimental results clearly show that the proposed approach can be successfully used for fast entropy estimation. The analysis was also focused on quality of the entropy estimation. Several possible implementations of the proposed method were discussed. The presented algorithms were compared with the existing solutions. It was demonstrated that the algorithms presented in this paper estimate the Shannon entropy faster and more accurately than the state-of-the-art algorithms.

LOCATING TEXT IN IMAGES BASED ON THE SMOOTH GRAY-LEVEL DETECTION

2012 ◽  
Vol 12 (04) ◽  
pp. 1250027 ◽  
Author(s):  
SHIUENG-BIEN YANG ◽  
CHI-FENG WU
Keyword(s):  
Experimental Results ◽  
New Method ◽  
Gray Level ◽  
Geometrical Structures ◽  
Text Extraction ◽  
Highly Effective ◽  
Better Than

The morphological technique is widely used for text extraction from images. It is highly effective in extracting geometrical structures and representing shapes in images. However, the morphological technique does not consider the variance of gray levels between neighboring pixels in images. Generally in images, changes in gray levels between neighboring nontext pixels are smoother than those between neighboring text pixels. This paper, therefore, proposes a new method for locating text based on the smooth gray-level detection. Experimental results reveal that the proposed method locates text in images better than other methods.

scholarly journals Applying Onicescu information energy for gray level image segmentation

2021 ◽  
Author(s):  
Vasile Patrascu
Keyword(s):  
Image Segmentation ◽  
Local Maximum ◽  
Gray Level ◽  
Segmentation Method ◽  
Gray Level Image ◽  
Information Energy

This article presents a method of segmenting images with gray levels that uses Onicescu's information energy calculated in the context of the neutrosophic theory. Starting from the information energy calcula-tion for complete neutrosophic information, it is shown how to extend its calculation for incomplete and inconsistent neutrosophic information. The segmentation method is based on calculation of thresholds for separating the gray levels using the local maximum points of the Onicescu information energy.

scholarly journals Superpixel Segmentation Based on Anisotropic Edge Strength

2019 ◽  
Vol 5 (6) ◽  
pp. 57 ◽  
Author(s):  
Gang Wang ◽  
Bernard De Baets
Keyword(s):  
Distance Measure ◽  
Saliency Detection ◽  
Experimental Results ◽  
Segmentation Method ◽  
Superpixel Segmentation ◽  
Gaussian Kernels ◽  
First Derivative ◽  
Edge Strength

Superpixel segmentation can benefit from the use of an appropriate method to measure edge strength. In this paper, we present such a method based on the first derivative of anisotropic Gaussian kernels. The kernels can capture the position, direction, prominence, and scale of the edge to be detected. We incorporate the anisotropic edge strength into the distance measure between neighboring superpixels, thereby improving the performance of an existing graph-based superpixel segmentation method. Experimental results validate the superiority of our method in generating superpixels over the competing methods. It is also illustrated that the proposed superpixel segmentation method can facilitate subsequent saliency detection.

A new method for monitoring the redox potential of fuel salt based on the deposition of 95Nb on Hastelloy C276

2021 ◽  
Vol 109 (5) ◽  
pp. 357-365
Author(s):  
Zhiqiang Cheng ◽  
Zhongqi Zhao ◽  
Junxia Geng ◽  
Xiaohe Wang ◽  
Jifeng Hu ◽  
...  
Keyword(s):  
Redox Potential ◽  
Molten Salt ◽  
Specific Activity ◽  
Chemical Reduction ◽  
Quantitative Approach ◽  
Experimental Results ◽  
New Method ◽  
Molten Salt Reactor ◽  
Fuel Salt ◽  
Well Correlation

Abstract To develop the application of 95Nb as an indicator of redox potential for fuel salt in molten salt reactor (MSR), the specific activity of 95Nb in FLiBe salt and its deposition of 95Nb on Hastelloy C276 have been studied. Experimental results indicated that the amount of 95Nb deposited on Hastelloy C276 resulted from its chemical reduction exhibited a positive correlation with the decrease of 95Nb activity in FLiBe salt and the relative deposition coefficient of 95Nb to 103Ru appeared a well correlation with 95Nb activity in FLiBe salt. Both correlations implied that the measurement of 95Nb activity deposited on Hastelloy C276 specimen might provide a quantitative approach for monitoring the redox potential of fuel salt in MSR.

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