Search Results for "morphological image processing" - Page 32

Showing 798 open source projects for "morphological image processing"

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  • 1
    CartoGimp is a Gimp plugin that enables the rendering of geographic data files (DEM, DLG, GNIS, etc.) It has many of the features of Drawmap, but with a graphical user interface and the Gimp's powerful image processing capabilities.
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  • 2
    Java classes and packages for digital image processing under ImageJ using the Colt Java API, and an enhanced Plugins Control Panel for ImageJ
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  • 3
    An image processing environment, based in Java, and developed on the concept of filters applied to an input. Maybe it will work out, maybe it won't. But it's better then wasting space on SourceForge for an old game...
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  • 4
    C++ library that implements basic data structures and algorithms for computer vision and image processing applications
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  • 5
    Hylafax Job Control Langauge (HJCL) is a batch processing perl script front end for Hylafax using PERL MAGICK and IMAGE MAGICK. Scans a directory for fax jobs and submits them to Hylafax.
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  • 6
    Foresight is a LGPLed wrapper that currently brings together the Intel IPL, Intel OpenCV, ImageMagick, and the Matrox MIL. The ultimate goal is to provide a standard interface for any number of acquisition and image processing libraries.
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  • 7
    This project aims at implementing a variety of the image processing algorithms by means of GIL.
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  • 8
    A numerical library designed for n-dimensional image-processing written in Java.
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  • 9
    openlpr is a open source project to implement license plate recognition in Win32 and Linux platform. It will provide the basic image processing to locate plate and character split and a neural network design to recognize character.
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  • 10
    A set of Matlab toolboxes to perform signal and image processing.
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  • 11
    Create a gamer who can play instead of you. Using image processing and aritificial intelligence, a AI robot will play a game and may clear the most difficult level.
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  • 12
    Various projects from Digital Image Processing and Computer Graphics club of Warsaw University of Technology.
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  • 13
    The Data Fusion Peer is a multitier computer vision internet application. The system provides image processing, motion tracking, and visualization information. Application will convert data into 3-Deminsional and other digital environments.
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  • 14

    geoscipy

    Python-accessible toolkit for Geoscience & Remote Sensing Applications

    ...There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.
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  • 15
    This project aims to development a universal media codecs for video/audio/image processing. It use same interfaces for all codecs. And it target system is embedded system. The codecs will be include: MPEG2, MPEG4, H264, AAC, VC-1, AVS.
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  • 16
    A Photoshop-like open source pixel-level image processing software. Due to the extremely slow access from my city to sourceforge, this project has been moved to CodePlex.
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  • 17
    SeeHawk is a cross-platform, cross-device video/image capturing, viewing, and editing application.
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  • 18
    A toolset with various tools for advanced text processing, image editing, converting multimedia formats.
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  • 19

    KinectStreamer

    Streams data from 3D cameras over a network.

    This is an application that streams data from the Microsoft Kinect or cameras like it over a network. The program is Intended to be used in robotics applications where the controller cannot use such cameras directly due to hardware/software limitations--such as lacking usb ports or appropriate drivers--or in situations where the camera is not in close proximity to the device that needs to access it. Given that the controller can accept data from over the network, another embedded controller...
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  • 20
    Ministral 3 3B Base 2512

    Ministral 3 3B Base 2512

    Small 3B-base multimodal model ideal for custom AI on edge hardware

    ...It supports dozens of languages, making it practical for multilingual, global, or distributed environments. With a large 256k token context window, it can handle long documents, extended inputs, or multi-step processing workflows even at its small size.
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  • 21
    MiMo-V2.5

    MiMo-V2.5

    Omnimodal AI model for agents, coding, and long-context tasks

    MiMo-V2.5 is a native omnimodal large language model developed by Xiaomi, designed for advanced agentic workflows, multimodal reasoning, and long-context processing. Built on a Mixture-of-Experts architecture with approximately 309B total parameters and around 15B activated per inference, it balances high capability with efficient execution. The model natively processes text, images, video, and audio within a unified system, enabling cross-modal understanding and complex task execution in a...
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  • 22
    Ministral 3 8B Instruct 2512

    Ministral 3 8B Instruct 2512

    Compact 8B multimodal instruct model optimized for edge deployment

    Ministral 3 8B Instruct 2512 is a balanced, efficient model in the Ministral 3 family, offering strong multimodal capabilities within a compact footprint. It combines an 8.4B-parameter language model with a 0.4B vision encoder, enabling both text reasoning and image understanding. This FP8 instruct-fine-tuned variant is optimized for chat, instruction following, and structured outputs, making it ideal for daily assistant tasks and lightweight agentic workflows. Designed for edge deployment,...
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  • 23
    Ministral 3 14B Instruct 2512

    Ministral 3 14B Instruct 2512

    Efficient 14B multimodal instruct model with edge deployment and FP8

    Ministral 3 14B Instruct 2512 is the largest model in the Ministral 3 family, delivering frontier performance comparable to much larger systems while remaining optimized for edge-level deployment. It combines a 13.5B-parameter language model with a 0.4B-parameter vision encoder, enabling strong multimodal understanding in both text and image tasks. This FP8 instruct-tuned variant is designed specifically for chat, instruction following, and agentic workflows with robust system-prompt...
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