Region-Based Edge Convolutions With Geometric Attributes for the Semantic Segmentation of Large-Scale 3-D Point Clouds

Contreras, Jhonatan; Sickert, Sven; Denzler, Joachim

doi:10.1109/jstars.2020.2998037

Cited by 3 publications

(2 citation statements)

References 40 publications

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“…According to these authors Li et al (2017), LiDAR pulses can partially penetrate the tree canopy and are unaffected by shadow and surrounding light conditions. LiDAR is an active sensor and can collect data during the day and night (Contreras, Sickert & Denzler 2020). Pacheco et al Anu.…”

Section: Airborne Lidar: Evolution and A Brief Discussion On The Tech...mentioning

confidence: 99%

Evaluation of LiDAR Point Clouds Density in the Interpolation of Digital Terrain Models for Power Line Planning in Northeast Brazil

Pacheco¹,

Centeno

Silva

2022

Anu. Inst. Geociênc.

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Mapping activities for the implementation of basic and executive projects for electric power transmission lines systematically involves topographic surveys. This study presents the results of a comparative study on the influence of the density of aerial survey points, LiDAR (Light Detection and Ranging), for the calculation of digital terrain models (DTMs) in typical areas of the northeastern region of Brazil, in the context of modeling ground for planning electricity transmission lines. The study area is the region covered by the 230 kV Ibicoara/Brumado transmission line, located in the state of Bahia/Brazil.. In part of this region, elevations of the mountains of the Western Edge of Chapada Diamantina predominate. Therefore, points with varying densities were used to interpolate DTMs in different environments. Point cloud classification (Airborne LiDAR) was performed using the TerraScan program using semi-automatic classification methods, followed by manual refinements. To evaluate the terrain models obtained with different point densities, four areas were selected under transmission line: Area 1 (24.4/m2), Area 2 (46.0/m2), Area 3 (33.7/m2) e Area 4 (29.7/m2). The Airborne LiDAR survey was performed with an Optech ALTM Pegasus HD500 sensor, calibrated to obtain a density of 15 points/m2. The results showed that, depending on the nature of the vegetation cover, less dense laser surveys do not offer enough quality to generate DTMs. However, in some cases, when the vegetation is denser and the terrain is not flat, the quality of the DTM decreases as the density of the points decreases. The study shows that the survey density must be suitable for the region to be analyzed. An important guideline would be to repeat this study in other areas with different coverage and relief variations, in order to create specifications to serve as a basis for planning LiDAR surveys on other transmission lines.

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Section: Airborne Lidar: Evolution and A Brief Discussion On The Tech...mentioning

confidence: 99%

Evaluation of LiDAR Point Clouds Density in the Interpolation of Digital Terrain Models for Power Line Planning in Northeast Brazil

Pacheco¹,

Centeno

Silva

2022

Anu. Inst. Geociênc.

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“…A biopsy is an invasive procedure that can be quite distressing for cancer patients. Dermoscopy is an imaging procedure that use a microscopy and other specialized illumination equipment to examine the skin in great detail in order to determine whether or not a biopsy is necessary [25]. The detection and classification of skin lesion types in Dermoscopy pictures presents the primary challenge.…”

Section: Figure 2 Lesions In Dermoscopy Imagesmentioning

confidence: 99%

A Multi Range Morphological Model on Dermoscopy Images with Edge Based Segmentation for Image Quality Enhancement for Skin Lesion Classification

Rapeti¹,

Reddy²

2023

RIA

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The most frequent form of cancer around the world is skin cancer. When compared to unaided visual inspection, Dermoscopy image processing enhances diagnostic accuracy for detecting malignant melanoma and other pigmented skin lesions. Medical professionals are very interested in computer-based methods that assist in diagnosis. For the most deadly skin diseases, such as melanoma, there has been a lot of research and development into the best ways to detect them. Skin cancer that originates in the pigment-producing cells known as melanocytes, melanoma, is the most severe form of the disease. Melanoma evolution might include changes in size, form, colour, irritation, and even skin disintegration. There is a need for a novel strategy to enhance the contrast and fine details of Dermoscopy Images. This study proposes a multi-range morphological approach to reducing the detrimental impact of low contrast on image quality. The rise in the number of skin cancer cases prompted the creation of these new technologies. The images must be precisely segmented in order to characterize skin lesions. That information can be used by a classifier or a dermatologist to classify a lesion more accurately, making it easier for them to do so. Segmentation issues might arise when images are obtained in an unsystematic and uncontrolled manner. Dermoscopy skin lesion photos can be used to aid in the computeraided diagnosis of melanoma by automatically selecting a lesion border. Segmenting skin lesions is a challenge because of the wide range of photography techniques used in Dermoscopy Images. The proposed model introduced a Multi Range Morphological Model on Dermoscopy Images with Edge based Segmentation (MRMM-DI-EbS) for image quality enhancement for lesion classification. The proposed model is compared with the traditional model and the results show that the proposed model performance is high in image quality enhancement.

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A Novel 3D Facial Recognition for Digital Payments

Shankar

Hema

2022

Proceedings of International Conference on Recent Trends in Computing

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Region-Based Edge Convolutions With Geometric Attributes for the Semantic Segmentation of Large-Scale 3-D Point Clouds

Cited by 3 publications

References 40 publications

Evaluation of LiDAR Point Clouds Density in the Interpolation of Digital Terrain Models for Power Line Planning in Northeast Brazil

Evaluation of LiDAR Point Clouds Density in the Interpolation of Digital Terrain Models for Power Line Planning in Northeast Brazil

A Multi Range Morphological Model on Dermoscopy Images with Edge Based Segmentation for Image Quality Enhancement for Skin Lesion Classification

A Novel 3D Facial Recognition for Digital Payments

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