Evaluating the Naturalness and Legibility of Whiteboard Image Enhancements

2019 ◽  
Vol 2019 (14) ◽  
pp. 86-1-86-9 ◽  
Author(s):  
Mekides Assefa ◽  
Jon Yngve Hardeberg
Keyword(s):  
1991 ◽  
Author(s):  
Brigitte Plessis ◽  
Morris Goldberg ◽  
Garry Belanger ◽  
Nancy M. Hickey

2005 ◽  
Vol 32 (4) ◽  
pp. 866-873 ◽  
Author(s):  
Jinkoo Kim ◽  
Fang-Fang Yin ◽  
Yang Zhao ◽  
Jae Ho Kim

In this chapter, the authors have described the methodologies to achieve the objectives of veins image enhancement, feature extractions, and matching with other veins images in the cloud IoT-based m-health environment. The initial steps to propose the algorithms for veins image enhance and feature extractions will have five parts. Once the proposed algorithm is written, the hardware architecture designs of the proposed veins image enhancements and feature extraction algorithm will be described by the authors. The hardware designs are presented in subsequent sections of this chapter. Further, the hardware designs are elaborated in detail for each of the techniques. The presented algorithms are implemented in MATLAB 11.0 software, and these algorithms are simulated and integrated with different veins sample images. The hardware designs of veins image enhancements and feature extractions are implemented using Verilog Hardware Language Description (VHLD), and these implemented results are simulated using MSA (Model-Sim-Altera) for sample images of different types of veins.


Hydrology ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 2
Author(s):  
Tewodros Tilahun ◽  
Wondwosen M. Seyoum

With the growing concerns of water quality related to tile drainage in agricultural lands, developing an efficient and cost-effective method of mapping tile drainage is essential. This research aimed to establish mapping of tile drainage systems in agricultural fields using optical and radiometric thermal sensors mounted on Unmanned Aerial System (UAS). The overarching hypothesis is that in a tile-drained land, spatial distribution of soil water content is affected by tile lines, therefore, contrasting soil temperature signals exist between areas along the tile lines and between the tile lines. Designated flights were conducted to assess the effectiveness of the UAS under various conditions such as rainfall, crop cover, crop maturity and time of the day. Image correction, mosaicking, image enhancements and map production were conducted using Agisoft and ENVI image analysis software. The results showed intermediate growth stage of soybean plants and rainfall helped delineating tile lines. In-situ soil temperature measurements revealed appropriate time of the day (14:00 to 18:00 h) for thermal image detection of the tile lines. The role of soil moisture and plant cover is not resolved, thus, further refinement of the approach considering these factors is necessary to develop efficient mapping techniques of tile drainage using UAS thermal and optical sensors.


2018 ◽  
Vol 11 (3) ◽  
pp. 1381-1387
Author(s):  
Reshma M ◽  
Priestly B. Shan

In Medical imaging, the dermoscopic images analysis is quite useful for the skin cancer detection. The automatic computer assisted diagnostic systems (CADS) require dermoscopic image enhancement for human perception and analysis. The traditional image enhancements methods lack the synchronization among contrast perception between human and the digital images. This paper proposes an optimized-Retinex (ORetinex) image enhancement algorithm to remove light effects, which is quite suitable for the dermoscopic image for clinical analysis for Melanoma. The value of global contrast factor (GCF) and contrast per pixel (CPP) is computed and compared with the traditional methods of image enhancements including contrast enhancement, CLAHE,Adaptive histogram equalization, Bilinear filtering and the proportion of GCF and CPP is found quite optimal as compare to these traditional methods.


2005 ◽  
pp. 119-156
Author(s):  
Mark Galer
Keyword(s):  

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