Use of Wavelet Techniques in the Study of Seawater Flux Dynamics in Coastal Lakes

One of the most common and augmenting health problems in the world are related to skin. The most unpredictable and one of the most difficult entities to automatically detect and evaluate is the human skin disease because of complexities of texture, tone, presence of hair and other distinctive features. Many cases of skin diseases in the world have triggered a need to develop an effective automated screening method for detection and diagnosis of the area of disease. Therefore the objective of this work is to develop a new technique for automated detection and analysis of the skin disease images based on color and texture information for skin disease screening. In this paper, system is proposed which detects the skin diseases using Wavelet Techniques and Artificial Neural Network. This paper presents a wavelet-based texture analysis method for classification of five types of skin diseases. The method applies tree-structured wavelet transform on different color channels of red, green and blue dermoscopy images, and employs various statistical measures and ratios on wavelet coefficients. In all 99 unique features are extracted from the image. By using Artificial Neural Network, the system successfully detects different types of dermatological skin diseases. It consists of mainly three phases image processing, training phase, detection and classification phase.

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Impact of Catchment Urbanisation on Lake Macquarie (Australia)

Water Science & Technology ◽

10.2166/wst.1989.0051 ◽

1989 ◽

Vol 21 (2) ◽

pp. 205-210 ◽

Cited By ~ 1

Author(s):

B. L. Simmons ◽

S. L. Trengove

Keyword(s):

Nutrient Enrichment ◽

Benthic Algae ◽

Water Clarity ◽

Nutrient Concentrations ◽

Lake Area ◽

Seagrass Beds ◽

Coastal Lake ◽

Aesthetic Quality ◽

Wastewater Disposal ◽

Coastal Lakes

Increasing urbanisation of coastal areas is leading to impacts on coastal lakes which decrease their amenity for recreation and tourism. Runoff and wastewater discharge cause siltation, impact seagrass beds and change the characteristics of open waters, affecting boating, swimming, fishing and the aesthetic quality of the locale. Management of urban development and wastewater disposal is required to minimise sedimentation and nutrient enrichment. This could include development restrictions, runoff controls and a strategy for wastewater treatment and discharge. The catchment of Lake Macquarie, a marine coastal lake, has been progressively urbanised since 1945. Urbanisation, through increased stormwater runoff and point source discharges, has caused a major impact on the lake in terms of sedimentation and nutrient enrichment. Losses of lake area and navigable waters have occurred. Accompanying problems include changes in the distribution of seagrass beds and nuisance growths of benthic algae. Since the 1950's, dry weather nutrient concentrations have increased and mean water clarity has decreased. Severe problems, as observed in other New South Wales coastal lakes, for example benthic algae in Lake Illawarra and Tuggerah Lakes, have not yet developed. Because of the lead time taken to implement policies and controls, trends should be identified and policies developed now so as to avoid nutrient buildup and development of sustained problems.

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Towards managing catchment water utilisation for the Lake St Lucia ecosystem

Water Science & Technology ◽

10.2166/wst.1995.0571 ◽

1995 ◽

Vol 32 (5-6) ◽

pp. 95-101

Author(s):

D. R. Weston ◽

G. Quibell ◽

W. V. Pitman

Keyword(s):

Catchment Area ◽

Management Decision ◽

Catchment Management ◽

Lake Levels ◽

Salinity Regime ◽

Wetland Ecosystems ◽

Coastal Lakes ◽

Lake Evaporation ◽

Wet And Dry Cycles ◽

Management Decision Support

Lake St Lucia is one of Africa's largest coastal lakes, and is one of South Africa's most important wetland ecosystems. However, like many ecosystems, it is under threat from increased demands for water in its catchment area. Reduced runoff primarily impacts on the salinity regime of the lake. At low lake levels there is a net inflow of seawater to the lake. Evaporation concentrates the salts, and lake salinities rise to several times that of seawater. In water periods, lake levels rise and there is a net outflow toward the sea. Under these conditions salinities are low. The lake therefore naturally experiences a range of salinities associated with wet and dry cycles. Increased water use in the catchment will, however, impact on this natural salinity regime. This paper introduces a suite of models which will be used to facilitate management of the water resources of the catchment. The preliminary work presented demonstrates the ability of the models to provide meaningful input into a catchment management decision-support system.

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Wavelet Techniques for Medical Images Performance Analysis and Observations with EZW and Underwater Image Processing

Wireless Personal Communications ◽

10.1007/s11277-020-07238-w ◽

2020 ◽

Author(s):

Javed Miya ◽

M. A. Ansari

Keyword(s):

Image Processing ◽

Performance Analysis ◽

Medical Images ◽

Underwater Image ◽

Wavelet Techniques ◽

Underwater Image Processing

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Climate Influence in Dendrochronological Series of Araucaria angustifolia from Campos do Jordão, Brazil

Atmosphere ◽

10.3390/atmos12080957 ◽

2021 ◽

Vol 12 (8) ◽

pp. 957

Author(s):

Daniela Oliveira da da Silva ◽

Alan Prestes ◽

Virginia Klausner ◽

Táyla Gabrielle Gonçalves de de Souza

Keyword(s):

Climatic Factors ◽

Summer Season ◽

Climatic Data ◽

Araucaria Angustifolia ◽

Paulo State ◽

Show Evidence ◽

Full Period ◽

Wavelet Techniques ◽

Climatic Time Series ◽

Dendroclimatic Analysis

A dendrochronological series of Araucaria angustifolia was analyzed for a better understanding of the climatic factors that operate in Campos do Jordão city, São Paulo state, Brazil. The dendroclimatic analysis was carried out using 45 samples from 16 Araucaria angustifolia trees to reconstruct the precipitation and the temperature over the 1803–2012 yearly interval. To this end, Pearson’s correlation was calculated between mean chronology and the climatic time series using a monthly temporal resolution to calibrate our models. We obtained correlations as high as r=0.22(α=0.1) for precipitation (February), and r=0.21(α=0.1) for temperature (March), both corresponding to the end of the summer season. Our results show evidence of temporal instabilities because the correlations for the halves of 1963–2012 were very different, as well as for the full period. To overcome this problem, the dendrochronological series and the climatic data were investigated using the wavelet techniques searching for time-dependent cause–effect relationships. From these analyses, we find a strong influence of the region’s precipitation and temperature on the growth of tree ring widths.

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