Principles of Digital Image Processing

Burger, Wilhelm; Burge, Mark J.

doi:10.1007/978-1-84800-191-6

Cited by 237 publications

(120 citation statements)

References 0 publications

Supporting

Mentioning

105

Contrasting

Unclassified

Order By: Relevance

“…(i) Pre-processing of the images: The MS and PAN (source images) were perfectly co-registered and the MS image resized to the PAN image size. In particular, in this work, the Lanczos3 algorithm [36] was used, obtaining a MS, that corresponds to the MS image interpolated at the PAN scale. Moreover, a histogram-matched PAN image was produced using Equation (12):…”

Section: Proposed Pansharpening Methods Based On the Rolling Guidancementioning

confidence: 99%

Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes

et al. 2016

View full text Add to dashboard Cite

Abstract:Remote sensing (RS) has played an important role in extensive agricultural monitoring and management for several decades. However, the current spatial resolution of satellite imagery does not have enough definition to generalize its use in highly-fragmented agricultural landscapes, which represents a significant percentage of the world's total cultivated surface. To characterize and analyze this type of landscape, multispectral (MS) images with high and very high spatial resolutions are required. Multi-source image fusion algorithms are normally used to improve the spatial resolution of images with a medium spatial resolution. In particular, pansharpening (PS) methods allow one to produce high-resolution MS images through a coherent integration of spatial details from a panchromatic (PAN) image with spectral information from an MS. The spectral and spatial quality of source images must be preserved to be useful in RS tasks. Different PS strategies provide different trade-offs between the spectral and the spatial quality of the fused images. Considering that agricultural landscape images contain many levels of significant structures and edges, the PS algorithms based on filtering processes must be scale-aware and able to remove different levels of detail in any input images. In this work, a new PS methodology based on a rolling guidance filter (RGF) is proposed. The main contribution of this new methodology is to produce artifact-free pansharpened images, improving the MS edges with a scale-aware approach. Three images have been used, and more than 150 experiments were carried out. An objective comparison with widely-used methodologies shows the capability of the proposed method as a powerful tool to obtain pansharpened images preserving the spatial and spectral information.

show abstract

Section: Proposed Pansharpening Methods Based On the Rolling Guidancementioning

confidence: 99%

Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Se utilizó un proyector de perfiles ST Industries, el análisis se realizó adicionando sobre el sustrato una gota (~20 µL) de agua destilada, se capturó la imagen y con el software image J (Burger, 2009), se midió el ángulo en dos tiempos t 0 y t f .…”

Section: áNgulo De Contactounclassified

Propiedades de conservación: recubrimiento a base de quitosano y Aloe vera aplicado en papa criolla (Solanum phureja)

et al. 2016

View full text Add to dashboard Cite

ResumenEn este trabajo se desarrollaron películas a partir de diferentes mezclas de quitosano y Aloe vera (80:20, 70:30 y 60:40) con el fin de evaluar las propiedades relacionadas con la tensión superficial de la película y espesor. La proporción 80:20 presentó un aspecto homogéneo, por lo cual se utilizó en la papa criolla (Solanum phureja) como recubrimiento. Este fue aplicado por inmersión del tubérculo y posterior secado variando la temperatura entre 40 °C a 70 °C con humedad relativa constante (H.R. 80%) durante 48 h. Se determinaron los parámetros colorimétricos CIELab, pérdida de peso y de carotenoides totales para cada tratamiento. Se utilizó un diseño aleatorizado simple para un total de 24 h por tratamiento. Cabe mencionar, que la cinética para las variables de estudio encontradas fue de orden cero, es decir, que el cambio de las propiedades depende exclusivamente del tiempo. La aplicación de recubrimiento a base de quitosano y Aloe vera en papa criolla permitió conservar el contenido de carotenoides totales hasta en un 70% en comparación con las muestras sin recubrimiento.Palabras clave: recubrimientos, gel Aloe vera, carotenoides, polisacáridos. AbstractIn this work, some films were developed starting from different mixtures of chitosan and Aloe vera (80:20, 70:30 and 60:40) in order to evaluate the properties related to the superficial tension of the layer and thickness. The ratio 80:20 presented a homogeneous appearance for which the native potato was used (Solanum phureja) as a coating. This was applied by the dipping and subsequent drying of the tuber, varying the temperature from 40 °C to 70 °C

show abstract

“…Connectivity is determined by the medium; image graphs, for example, can be 4-connected or 8-connected [2].…”

Section: Connected Component Labeling Techniquementioning

confidence: 99%

“…A. Rosenfeld and J. L. Pfaltz were proposed connected component labeling search for connected pixels of object in digital image [1]. W. Burger and M. J. Burge were proposed bounding box and centroid calculation of binary regions called blob analysis [2]. In this work, the connected component labeling and blob analysis were chosen.…”

Section: Introductionmentioning

confidence: 99%

Air Conditioning Compressor Air Leak Detection by Image Processing Techniques for Industrial Applications

Pookongchai

Nakornrat

Sookananta

et al. 2015

MATEC Web of Conferences

View full text Add to dashboard Cite

Abstract. This paper presents method to detect air leakage of an air conditioning compressor using image processing techniques. Quality of air conditioning compressor should not have air leakage. To test an air conditioning compressor leak, air is pumped into a compressor and then submerged into the water tank. If air bubble occurs at surface of the air conditioning compressor, that leakage compressor must be returned for maintenance. In this work a new method to detect leakage and search leakage point with high accuracy, fast, and precise processes was proposed. In a preprocessing procedure to detect the air bubbles, threshold and median filter techniques have been used. Connected component labeling technique is used to detect the air bubbles while blob analysis is searching technique to analyze group of the air bubbles in sequential images. The experiments are tested with proposed algorithm to determine the leakage point of an air conditioning compressor. The location of the leakage point was presented as coordinated point. The results demonstrated that leakage point during process could be accurately detected. The estimation point had error less than 5% compared to the real leakage point.

show abstract

Principles of Digital Image Processing

Cited by 237 publications

References 0 publications

Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes

Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes

Propiedades de conservación: recubrimiento a base de quitosano y Aloe vera aplicado en papa criolla (Solanum phureja)

Air Conditioning Compressor Air Leak Detection by Image Processing Techniques for Industrial Applications

Contact Info

Product

Resources

About