Dermoscopy Images Enhancement via Multi-Scale Morphological Operations

Skin dermoscopy images frequently lack contrast caused by varying light conditions. Indeed, often low contrast is seen in dermoscopy images of melanoma, causing the lesion to blend in with the surrounding skin. In addition, the low contrast prevents certain details from being seen in the image. Therefore, it is necessary to design an approach that can enhance the contrast and details of dermoscopic images. In this work, we propose a multi-scale morphological approach to reduce the impacts of lack of contrast and to enhance the quality of the images. By top-hat reconstruction, the local bright and dark features are extracted from the image. The local bright features are added and the dark features are subtracted from the image. In this way, images with higher contrast and detail are obtained. The proposed approach was applied to a database of 236 color images of benign and malignant melanocytic lesions. The results show that the multi-scale morphological approach by reconstruction is a competitive algorithm since it achieved a very satisfactory level of contrast enhancement and detail enhancement in dermoscopy images.

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Morphological sharpening of color images

Bulletin of the Polish Academy of Sciences Technical Sciences ◽

10.1515/bpasts-2016-0012 ◽

2016 ◽

Vol 64 (1) ◽

pp. 103-113

Author(s):

S. Skoneczny

Keyword(s):

Color Images ◽

Total Order ◽

Experimental Results ◽

Morphological Operations ◽

Gray Level ◽

Low Contrast ◽

Novel Approach ◽

Multivalued Images ◽

Theoretical Considerations ◽

Gray Level Images

Abstract This paper presents a novel approach to morphological contrast sharpening of image using the multilevel toggle operator. The concept presented here is a generalization of toggle based contrast operator for gray-level images. The multilevel toggle operator is used to enhance the contrast of multivalued images. In order to perform necessary morphological operations the modified pairwise ordering (MPO) algorithm is proposed. It gives the total order of color pixels. For comparison four other ordering methods are used. The main advantage of the proposed sharpener is its significant contrast enhancing ability when using MPO. Theoretical considerations as well as practical results are shown. Experimental results show its applicability to low-contrast color images.

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Resistance Monitor and Control for Vacuum Evaporation of Metals and Carbon

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100092827 ◽

1976 ◽

Vol 34 ◽

pp. 572-573

Author(s):

Russell L. Steere ◽

Eric F. Erbe ◽

J. Michael Moseley

Keyword(s):

Electronic Device ◽

Point Sources ◽

High Contrast ◽

Variable Resistor ◽

Quality Of Results ◽

Low Contrast ◽

Evaporation Source ◽

And Control ◽

At Will

We have designed and built an electronic device which compares the resistance of a defined area of vacuum evaporated material with a variable resistor. When the two resistances are matched, the device automatically disconnects the primary side of the substrate transformer and stops further evaporation.This approach to controlled evaporation in conjunction with the modified guns and evaporation source permits reliably reproducible multiple Pt shadow films from a single Pt wrapped carbon point source. The reproducibility from consecutive C point sources is also reliable. Furthermore, the device we have developed permits us to select a predetermined resistance so that low contrast high-resolution shadows, heavy high contrast shadows, or any grade in between can be selected at will. The reproducibility and quality of results are demonstrated in Figures 1-4 which represent evaporations at various settings of the variable resistor.

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Multi-scale Surface Representation and Detail Enhancement Based on Bilateral Filter

Journal of Computer-Aided Design & Computer Graphics ◽

10.3724/sp.j.1089.2010.10909 ◽

2010 ◽

Vol 22 (7) ◽

pp. 1150-1157

Author(s):

Chunxia Xiao ◽

Guangpu Feng ◽

Bin Liao

Keyword(s):

Bilateral Filter ◽

Surface Representation ◽

Multi Scale ◽

Detail Enhancement ◽

Scale Surface

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Underwater Image Enhancement Based on Local Contrast Correction and Multi-Scale Fusion

Journal of Marine Science and Engineering ◽

10.3390/jmse9020225 ◽

2021 ◽

Vol 9 (2) ◽

pp. 225

Author(s):

Farong Gao ◽

Kai Wang ◽

Zhangyi Yang ◽

Yejian Wang ◽

Qizhong Zhang

Keyword(s):

Image Enhancement ◽

Local Contrast ◽

Fusion Method ◽

Formation Model ◽

Low Contrast ◽

White Balance ◽

Multi Scale ◽

Color Distortion ◽

Underwater Image ◽

Enhancement Method

In this study, an underwater image enhancement method based on local contrast correction (LCC) and multi-scale fusion is proposed to resolve low contrast and color distortion of underwater images. First, the original image is compensated using the red channel, and the compensated image is processed with a white balance. Second, LCC and image sharpening are carried out to generate two different image versions. Finally, the local contrast corrected images are fused with sharpened images by the multi-scale fusion method. The results show that the proposed method can be applied to water degradation images in different environments without resorting to an image formation model. It can effectively solve color distortion, low contrast, and unobvious details of underwater images.

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Detection of Myocardial Infarction Using ECG and Multi-Scale Feature Concatenate

Sensors ◽

10.3390/s21051906 ◽

2021 ◽

Vol 21 (5) ◽

pp. 1906

Author(s):

Jia-Zheng Jian ◽

Tzong-Rong Ger ◽

Han-Hua Lai ◽

Chi-Ming Ku ◽

Chiung-An Chen ◽

...

Keyword(s):

Myocardial Infarction ◽

Network Structure ◽

Class Imbalance ◽

Class Imbalance Problem ◽

Multi Scale ◽

Imbalance Problem ◽

Average Accuracy ◽

Significant Difference ◽

Electrocardiogram Ecg

Diverse computer-aided diagnosis systems based on convolutional neural networks were applied to automate the detection of myocardial infarction (MI) found in electrocardiogram (ECG) for early diagnosis and prevention. However, issues, particularly overfitting and underfitting, were not being taken into account. In other words, it is unclear whether the network structure is too simple or complex. Toward this end, the proposed models were developed by starting with the simplest structure: a multi-lead features-concatenate narrow network (N-Net) in which only two convolutional layers were included in each lead branch. Additionally, multi-scale features-concatenate networks (MSN-Net) were also implemented where larger features were being extracted through pooling the signals. The best structure was obtained via tuning both the number of filters in the convolutional layers and the number of inputting signal scales. As a result, the N-Net reached a 95.76% accuracy in the MI detection task, whereas the MSN-Net reached an accuracy of 61.82% in the MI locating task. Both networks give a higher average accuracy and a significant difference of p < 0.001 evaluated by the U test compared with the state-of-the-art. The models are also smaller in size thus are suitable to fit in wearable devices for offline monitoring. In conclusion, testing throughout the simple and complex network structure is indispensable. However, the way of dealing with the class imbalance problem and the quality of the extracted features are yet to be discussed.

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Boundary Morphology for Hierarchical Simplification of Archaeological Fragments

Mathematical Morphology - Theory and Applications ◽

10.1515/mathm-2020-0101 ◽

2020 ◽

Vol 4 (1) ◽

pp. 46-63

Author(s):

Hanan ElNaghy ◽

Leo Dorst

Keyword(s):

Mathematical Morphology ◽

Masking Effect ◽

Morphological Operations ◽

Fracture Surfaces ◽

Morphological Approach ◽

Archaeological Artifacts ◽

Scale Spaces ◽

Extrusion Method

AbstractWhen fitting archaeological artifacts, one would like to have a representation that simplifies fragments while preserving their complementarity. In this paper, we propose to employ the scale-spaces of mathematical morphology to hierarchically simplify potentially fitting fracture surfaces. We study the masking effect when morphological operations are applied to selected subsets of objects. Since fitting locally depends on the complementarity of fractures only, we introduce ‘Boundary Morphology’ on surfaces rather than volumes. Moreover, demonstrating the Lipschitz nature of the terracotta fractures informs our novel extrusion method to compute both closing and opening operations simultaneously. We also show that in this proposed representation the effects of abrasion and uncertainty are naturally bounded, justifying the morphological approach. This work is an extension of our contribution earlier published in the proceedings of ISMM2019 [10].

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Rootstock effect on serotonin and nutritional quality of tomatoes produced under low temperature and light conditions

Journal of Food Composition and Analysis ◽

10.1016/j.jfca.2015.11.003 ◽

2016 ◽

Vol 46 ◽

pp. 50-59 ◽

Cited By ~ 10

Author(s):

Patrick Riga ◽

Leyre Benedicto ◽

Libia García-Flores ◽

Débora Villaño ◽

Sonia Medina ◽

...

Keyword(s):

Low Temperature ◽

Nutritional Quality ◽

Light Conditions

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K out of N Secret Sharing Scheme for Multiple Color Images with Steganography and Authentication

International Journal of Image and Graphics ◽

10.1142/s0219467816500108 ◽

2016 ◽

Vol 16 (02) ◽

pp. 1650010 ◽

Cited By ~ 1

Author(s):

P. Mohamed Fathimal ◽

P. Arockia Jansi Rani

Keyword(s):

Secret Sharing ◽

Visual Quality ◽

Color Images ◽

Pixel Expansion ◽

Image Sharing ◽

Digital Ecosystem ◽

Sharing Scheme ◽

Text Steganography ◽

Key Aspects

With our lives trundling toward a fully-digital ecosystem in break-neck speed, today’s encryption and cryptography are facing the challenge of ensuring security and future-readiness of our transactions. When such transactions involve multiple hands, transmission of such data in discrete and recoverable parts (secret shares) guarantees confidentiality. This paper’s objective is to present a foolproof way of multiple secret sharing, eliminating issues such as half-toning and degradation of visual quality of the recovered images. This [Formula: see text] out of [Formula: see text] steganography and authenticated image sharing (SAIS) scheme for multiple color images generates [Formula: see text] relevant shares with the ability to reconstruct the secret images using [Formula: see text] shares and facility to find out any move for appropriation of share cover images. The key aspects of this proposed scheme is to use simple Boolean and arithmetic operations with reduction of computational complexity from [Formula: see text] to [Formula: see text] and to share multiple images without any pixel expansion.

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