Simulation of greyscale image colouring using blob detection by Azimi, Ahmad Izul Fakhruddin

“…Automatic colouring of greyscale images using computer is one of the important fields in digital image processing. It helps to produce more appealing visuals to human eye when one have to deal with medical images, night vision cameras or scientific illustrations. …”
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An enhanced segmentation technique for smokers RBC rouleax coin stacking by Malijan, M. H., Sharif, J. M., Abdullah, A. H., Jamil, M. M.

“…This study presents an enhanced segmentation technique that can detect the high degree of overlapping RBCs of smokers using digital image processing that can be helpful in the medical field.…”
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Hydrocarbon penetration in multi-porosity soil by Rashid, M. F. A., Alias, N., Ahmad, K., Sa'ari, R., Ramli, M. Z., Shahrin, M. I., Ibrahim, Z.

“…The LNAPL migration pattern in laterite soil was monitored and recorded using a digital image processing technique (DIPT) at certain time intervals. …”
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Classification of human parasitic worm using microscopic image processing technique by Raafat Salih, Hadi

“…In this strategy, digital image processing methods such as noise reduction, contrast enhancement, and other morphological process are applied to extract the eggs images based on their features. …”
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A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique by Hussain K., Khaleaf, Kamarul Hawari, Ghazali, Mithaq Na'ma, Raheema, Abdalla, Ahmed N.

“…The image contrast problem is one of the main problems that confront the researchers in the field of digital image processing, such as in the biomedical image processing like X-Ray and MRI image segmentation for disease classification. …”
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Essential Notes on the Passiflora incarnata-Agraulis vanillae insularis Relation by Julio C. Rifa Tellez, Marisela de la C. Guerra Salcedo, Isidro E. Méndez Santos, Jesús Ávila Herrera

“…Methods: Field observation, work with biological collections, digital image processing, specimen identification through descriptive catalogs and analytical keys, experimental breeds in controlled conditions. …”
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Image Denoising Using Framelet Transform by Ali K. Nahar, Hadeel N. Abduallah

“…In many of the digital image processing applications, observed image ismodeled to be corrupted by different types of noise that result in a noisy version.Hence image denoising is an important problem that aims to find an estimateversion from noisy image that is as close to the original image as possible. …”
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Application of Fractals to Evaluate Fractures of Rock Due to Mining by Binbin Yang, Yong Liu

“…The spatial and temporal structure characteristics of fractures in the rock mass due to mining are simulated with physical scale model testing based on digital image processing technology. A spatiotemporal model is created to examine the spatial and temporal patterns of hot and cold spots of the fractures based on a Geographic Information System (GIS). …”
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Image encryption using fractional integral transforms: Vulnerabilities, threats, and future scope by Gurpreet Kaur, Rekha Agarwal, Vinod Patidar

“…As the fractional integral transforms have evolved through their applications from optical signal processing to digital signal and digital image processing over the decades. In this article, we have adopted an architecture and corresponding domain-based taxonomy to classify various existing schemes in the literature. …”
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Evaluation of the best Edge Filters in Image Processing Based on the Color Fabric Texture by Yahya Ibrahim

“…Edge identification is the first step in many digital image-processing applications. Edge identification greatly decreases the data quantity, undesirable filters or unimportant data and provides the important data into the image. …”
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Discrete element analysis of the effect of aggregate morphology on the flowability of self-compacting concrete by Junqing Wu, Zhaolin Jia, Xiaolin Zhou

“…In this paper, the 3D laser scanning technology and digital image processing technology were used to characterize the aggregate morphology quantitatively, and an aggregate classification method considering the angularity of mesoscale was proposed. …”
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Automation of Cluster Extraction in Fundus Autofluorescence Images of Geographic Atrophy by Janan Arslan, Kurt Benke

“…In this study, digital image processing and unsupervised learning were used to (1) completely automate the extraction of hyperfluorescent regions from images, and (2) evaluate prospective patterns and groupings of hyperfluorescent areas associated with varying levels of GA progression. …”
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Research on varietal classification and germination evaluation system for rice seed using hand-held devices by S. Durai, C. Mahesh

“…Rice Seed varietal classification and germination evaluation system is developed to identify the variety and evaluate the germination of rice seeds using Digital Image processing system. For economic and ease of usage, we have used mobile phones to take digital images. …”
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The Influence of Steganographic Methods and QR Code Resolutions on Data Hiding in Cover Images by Andrejčík Samuel, Ovseník Ľuboš, Oravec Jakub

“…This work deals with digital image processing using the steganography technique in real life. …”
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Automated Extraction for Water Bodies Using New Water Index from Landsat 8 OLI Images by Pu YAN,Yue FANG,Jie CHEN,Gang WANG,Qingwei TANG

“…We employ a new water index and digital image processing technology to extract water bodies automatically and accurately from Landsat 8 OLI images. …”
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Porous Blasting Morphology and Resistivity Response Characteristics of Soft Coal Seam by Wenwang Yang, Sanlin He, Taotao Zhao, Chenying Ge

“…The fracturing characteristics of multi-holes blasting in soft coal seam were analyzed quantitatively by using the multi-holes model blasting experiment of soft coal seam and digital image processing (DIP) and electrical resistivity tomography (ERT) techniques, and the electrical resistivity response rules before and after blasting were obtained. …”
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Microscopic recognition of micro fossils in carbonate rocks based on convolutional neural network by Xiaolu YU, Kai YE, Chongjiao DU, Hanning GONG, Zhongliang MA

“…Through image preprocessing, model design, model training etc., the intelligent recognition of fossils of organisms within thin section images were realized, and the recognition accuracy showed to be 86%.Meanwhile, an advanced YOLO(You Look Only Once) object detection model was proposed, which could realize the detection and recognition of the area where the organism locates in thin section image, and the recognition accuracy appeared to be 85%.This method verified the feasibility of using digital image processing algorithm and deep learning method to intelligently identify biological microscopic images of carbonate rocks.It can be regarded as a useful supplement to traditional manual identification methods and has certain practical application value.…”
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GRAIN-SIZE MEASUREMENTS OF FLUVIAL GRAVEL BARS USING OBJECT-BASED IMAGE ANALYSIS by Pedro Castro, Raúl Vicens

“…Aiming productivity, more efficient methods have been developed by applying remote sensing techniques and digital image processing. This research proposes an Object-Based Image Analysis methodology to classify gravel bars in fluvial channels. …”
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Data-Driven Kinematic Model of PneuNets Bending Actuators for Soft Grasping Tasks by Ciprian Rad, Olimpiu Hancu, Ciprian Lapusan

“…The model validation is accomplished through a set of experiments, where the shape and elementary displacements were measured using a digital image processing technique. The experimental data and the estimated data from the DAK model were compared and analyzed, respectively. …”
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Computer-Aided Diagnosis for the Early Breast Cancer Detection by Miran Hakim Aziz, Alan Anwer Abdulla

“…Computer-aided diagnosis (CAD) system is a prominent tool for the detection of different forms of diseases, especially cancers, based on medical imaging. Digital image processing is a critical in the processing and analysis of medical images for the disease diagnosis and detection. …”
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