HDL-Optimized Algorithm Design
R2026bSelect blocks or System objects for streaming video processing
The Vision HDL Toolbox™ blocks and System objects in this category implement hardware-friendly architectures and support HDL code generation when used with HDL Coder™.
Blocks
 | Birds-Eye View | Transform front-facing camera image into top-down view |
 | Chroma Resampler | Downsample or upsample chrominance component |
 | Color Space Converter | Convert color information between color spaces |
 | Demosaic Interpolator | Construct RGB pixel data from Bayer pattern pixel stream |
 | Gamma Corrector | Apply or remove gamma correction of pixel stream |
 | Lookup Table | Map input pixel to output pixel using custom rule |
 | Image Resizer | Change dimensions of image in pixel stream (Since R2023a) |
 | Bilateral Filter | 2-D bilateral filtering |
 | Edge Detector | Find edges of objects in grayscale pixel stream |
 | Image Filter | 2-D FIR filtering |
 | Median Filter | 2-D median filtering |
 | Corner Detector | Find corners using FAST or Harris algorithm |
 | Closing | Morphological closing of binary pixel data |
 | Dilation | Morphological dilation of binary pixel data |
 | Erosion | Morphological erosion of binary pixel data |
 | Opening | Morphological opening of binary pixel data |
 | Grayscale Closing | Morphological closing of grayscale pixel data |
 | Grayscale Dilation | Morphological dilation of grayscale pixel data |
 | Grayscale Erosion | Morphological erosion of grayscale pixel data |
 | Grayscale Opening | Morphological opening of grayscale pixel data |
 | Histogram | Frequency distribution of pixel values in video stream |
 | Image Statistics | Calculate mean, variance, and standard deviation |
 | Line Buffer | Store video lines and return neighborhood pixels |
 | Pixel Stream Aligner | Align two streams of pixel data |
 | ROI Selector | Select a region of interest (ROI) from pixel stream |
 | HV Counter | Count active dimensions of pixel stream |
Objects
Functions
visionhdlframetoregions | Convert video frame dimensions into tiled regions of interest |
Topics
Enhancement
- Noise Removal and Image Sharpening
This example shows how to implement a front-end module of an image processing design. - Image Undistortion
This example shows how to remove lens distortion in images. - Image Warp
This example shows how to implement affine and projective transforms for FPGAs. - Fog Rectification
This example shows how to remove fog from images captured under foggy conditions. - Low Light Enhancement
This example shows how to enhance low-light images using an algorithm suitable for FPGAs. - Video Stabilization
This example shows how to implement a feature-based video stabilization algorithm for FPGAs. - Stereo Image Rectification and Disparity Using Semi-Global Block Matching
This example shows how to implement stereo image rectification for a calibrated stereo camera pair and then compute disparity between the pair using the Semi-Global Block Matching algorithm. - Stereo Image Rectification
This example shows how to implement stereo image rectification for a calibrated stereo camera pair. - Stereo Disparity Using Semi-Global Block Matching
This example shows how to compute disparity between left and right stereo camera images using the Semi-Global Block Matching algorithm.
Detection and Analysis
- Blob Analysis
This example shows how to implement a single-pass 8-way connected- component labeling algorithm and perform blob analysis. - Pothole Detection
This example extends the Generate Cartoon Images Using Bilateral Filtering example to include calculating a centroid and overlaying a centroid marker and text label on detected potholes. - FAST Corner Detection
This example shows how to perform corner detection using the features-from-accelerated-segment test (FAST) algorithm. - Harris Corner Detection
This example shows how to use edge detection as the first step in corner detection. - Generate Cartoon Images Using Bilateral Filtering
This example shows how to generate cartoon lines and overlay them onto an image.
Video Modeling
- Edge Padding
Padding algorithms used to filter edge pixels of a frame. - Increase Throughput by Omitting Padding
This example shows how to reduce latency and save hardware resources by not adding padding pixels at the edge of each frame. - Using the Line Buffer to Create Efficient Separable Filters
This example shows how to design and implement a separable image filter, which uses fewer hardware resources than a traditional 2-D image filter. - Modeling External Memory
You can model external memory using features from SoC Blockset™ for AMD.
In MATLAB
- Accelerate a MATLAB Design with MATLAB Coder
Compile MATLAB® designs to C code for faster simulation. - Pixel-Streaming Design in MATLAB
This example shows how to design pixel-stream video processing algorithms using Vision HDL Toolbox™ objects in the MATLAB® environment and generate HDL code from the design. - Enhanced Edge Detection from Noisy Color Video
This example shows how to develop a complex pixel-stream video processing algorithm, accelerate its simulation using MATLAB® Coder™, and generate HDL code from the design.
Featured Examples
Object Tracking Using 2-D FFT
Implement an object tracking algorithm on FPGA. The model in this example supports a high frame rate of 1080p@120 fps.
Ground Plane Segmentation of Lidar Data on FPGA
Segment organized 3-D lidar point cloud data into ground and nonground parts on FPGA. Ground plane removal is an essential video preprocessing step in lidar applications.
Contrast Limited Adaptive Histogram Equalization
Implement a contrast-limited adaptive histogram equalization (CLAHE) algorithm using Simulink® blocks. The example model is FPGA-hardware compatible.
Lane Detection
Implement a lane-marking detection algorithm for FPGAs.
Multi-Zone Metering
Use the Image Statistics block to perform multi-zone metering to extract a region of interest (ROI).
