Smoothing Filters : Linear low-pass filters (Mean/Box filters) and non-linear filters (Median filters) used for noise reduction. Median filters are highly effective against impulse ("salt-and-pepper") noise.
Dilation followed by erosion; fuses narrow breaks and fills long thin gulfs. Image Segmentation
In the modern era of visual information, digital image processing has evolved from a niche scientific tool into a foundational technology powering everything from medical diagnostics to smartphone cameras. According to the framework established by S. Jayaraman digital image processing jayaraman ppt
[ Image Acquisition ] ➔ [ Image Enhancement ] ➔ [ Image Restoration ] │ [ Object Recognition] 🠔 [ Representation/ ] 🠔 [ Segmentation ] [ Description ] Image Acquisition
: An image is defined as a two-dimensional function are spatial coordinates. The value of at any point is the intensity or gray level. Image Segmentation In the modern era of visual
: Partitioning an image into its constituent parts or objects. This is one of the most difficult tasks in DIP.
Hue, Saturation, Intensity (decouples color info from intensity, matching human perception). Wavelets and Multi-resolution Processing The value of at any point is the intensity or gray level
Based on discontinuity (edges) or similarity (regions).
If you are teaching a university course, include footnotes indicating the corresponding chapter numbers from S. Jayaraman’s book so students can easily follow along in their reading.
What is the of your presentation (e.g., a classroom lecture, a university seminar, or a student project review)?
: Segmentation is the bridge between image processing and computer vision. We can find objects either by looking for abrupt changes in intensity—like edges—or by grouping pixels that share similar gray levels. Slide 19: Thresholding & Region-Based Segmentation Content : Foundation of Thresholding: Selecting an intensity value to separate foreground from background. Global vs. Optimum Thresholding (Otsu’s Method). Region Growing, Region Splitting, and Merging.