A5034117890- Identification and Quantification in Food
- Image and Object Detection Techniques
- Industrial Vision Systems and Defect Detection
- Marine animal studies overview
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Water Quality Monitoring Technologies
- Video Surveillance and Tracking Methods
- Gaze Tracking and Assistive Technology
- Remote Sensing and LiDAR Applications
- Image and Video Quality Assessment
- Hand Gesture Recognition Systems
- 3D Surveying and Cultural Heritage
- Image Processing and 3D Reconstruction
- Ichthyology and Marine Biology
- Mineral Processing and Grinding
- Color Science and Applications
- Fish Ecology and Management Studies
- Visual Attention and Saliency Detection
- Cell Image Analysis Techniques
- Food Supply Chain Traceability
- Biomedical Text Mining and Ontologies
- Robotics and Sensor-Based Localization
- Color perception and design
- Tactile and Sensory Interactions
Lappeenranta-Lahti University of Technology
2016-2025
Signal Processing (United States)
2021
Institute of Electrical and Electronics Engineers
2021
Segmentation of partially overlapping objects with a known shape is needed in an increasing amount various machine vision applications. This paper presents method for segmentation clustered that can be approximated using ellipse. The utilizes silhouette images, which means it requires only the foreground (objects) and background distinguished from each other. starts seedpoint extraction bounded erosion fast radial symmetry transform. Extracted seedpoints are then utilized to associate edge...
Abstract Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of aquatic ecosystems respond quickly to changes in the environment, therefore their monitoring is vital follow understand these changes. Advances imaging technology have enabled novel possibilities study plankton populations, but manual classification images time consuming expert-based, making such an approach unsuitable for large-scale application urging automatic solutions analysis, especially...
Plankton communities form the basis of aquatic ecosystems and elucidating their role in increasingly important environmental issues is a persistent research question. Recent technological advances automated microscopic imaging, together with cloud platforms for high-performance computing, have created possibilities collecting processing detailed high-frequency data on planktonic communities, opening new horizons testing core hypotheses ecosystems. Analyzing continuous streams big calls...
Abstract Access to large image volumes through camera traps and crowdsourcing provides novel possibilities for animal monitoring conservation. It calls automatic methods analysis, in particular, when re-identifying individual animals from the images. Most existing re-identification rely on either hand-crafted local features or end-to-end learning of fur pattern similarity. The former does not need labeled training data, while latter, although very data-hungry typically outperforms enough...
Abstract Image‐based re‐identification of animal individuals allows gathering information such as population size and migration patterns the animals over time. This, together with large image volumes collected using camera traps crowdsourcing, opens novel possibilities to study populations. For many species, can be done by analysing permanent fur, feather, or skin that are unique each individual. In this paper, authors pattern feature aggregation based consider two ways improving accuracy:...
In this paper we propose a method to match pelage patterns of the Saimaa ringed seals enabling re-identification individuals. First, pattern is extracted from seal's fur using based on Sato tubeness filter. After this, similarities patches are computed siamese network trained with triplet loss function and large dataset manually selected patches. The then used find best matching images in database known Furthermore, employ proposed build full framework for seal re-identification, consisting...
Wildlife camera traps and crowd-sourced image material provide novel possibilities to monitor endangered animal species. The massive data volumes call for automatic methods solve various tasks related population monitoring, such as the re-identification of individual animals. Saimaa ringed seal (Pusa hispida saimensis) is an subspecies only found in Lake Saimaa, Finland, one few existing freshwater Ringed seals have permanent pelage patterns that are unique each can be used identification...
Detection, counting and characterization of bubbles, that is, transparent objects in a liquid, is important many industrial applications. These applications include monitoring pulp delignification multiphase dispersion processes common the chemical, pharmaceutical, food industries. Typically aim to measure bubble size distribution. In this paper, we present comprehensive comparison detection methods for challenging image data. Moreover, compare detection-based direct distribution estimation...
Abstract Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of large offline gold-standard benchmark documents that cover variety research fields such newly search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we established RElevant LIterature SearcH consortium consisting more than 1500 scientists from 84 countries, who collectively annotated...
Planktonic organisms are key components of aquatic ecosystems and respond quickly to changes in the environment, therefore their monitoring is vital understand environment. Yet, plankton at appropriate scales still remains a challenge, limiting our understanding functioning systems response changes. Modern imaging instruments can be utilized sample high frequencies, enabling novel possibilities study populations. However, manual analysis data costly, time consuming expert based, making such...
In order to monitor an animal population and track individual animals in a non‐invasive way, identification of based on certain distinctive characteristics is necessary. this study, automatic image‐based the endangered Saimaa ringed seal ( Phoca hispida saimensis ) considered. Ringed seals have permanent pelage pattern that unique each individual. This can be used as basis for process. The authors propose framework starts with segmentation from background proceeds various post‐processing...
The paper proposes a method for the detection of bubble-like transparent objects in liquid. problem is non-trivial since bubble appearance varies considerably due to different lighting conditions causing contrast reversal and multiple interreflections. We formulate as concentric circular arrangements (CCA). CCAs are recovered hypothesize-optimize-verify framework. hypothesis generation based on sampling from partially linked components non-maximum suppressed responses oriented ridge filters,...
This paper introduces a novel method for segmentation of clustered partially overlapping convex objects in silhouette images. The proposed involves three main steps: pre-processing, contour evidence extraction, and estimation. Contour extraction starts by recovering segments from binarized image detecting concave points. After this the which belong to same are grouped. grouping is formulated as combinatorial optimization problem solved using branch bound algorithm. Finally, full contours...
Abstract Automated wildlife reidentification has attracted increasing attention in recent years as it provides a non-invasive tool to identify and track individual wild animals over time. In this paper, the first steps are taken towards automatic photo-identification of Ladoga ringed seals ( Pusa hispida ladogensis ). A method is proposed that takes sequence images, each containing multiple individuals input, produces cropped images grouped based on one certain per group. The starts by...
Counting and tracking fish populations is important for conservation purposes as well the fishing industry. Various non-invasive automatic counters exist based on such principles resistivity, light beams sonar. However, methods typically cannot make distinction between other passing objects, moreover, recognize different species. Computer vision techniques provide an attractive alternative building a more robust versatile counting systems. In this paper we present detection framework noisy...
We propose a method for Saimaa ringed seal (Pusa hispida saimensis) re-identification. Access to large image volumes through camera trapping and crowdsourcing provides novel possibilities animal conservation monitoring calls automatic methods analysis, in particular, when re-identifying individual animals from the images. The proposed NOvel Ringed re-identification by Pelage Pattern Aggregation (NORPPA) utilizes permanent unique pelage pattern of seals content-based retrieval techniques....
The proposed image analysis method allows the measurement of organic phase droplet sizes, velocities, and copper concentrations in single column extraction using hydroxyoxime complexation. uses acquisition sequences from video, detection moving droplets, binarization background subtracted images, noise reduction images. enabled characterizing shape by determining minor major axis lengths. can detect concentration directly inside wherever is visible. Image based was validated against...