use iblobs function to detect object in matlab

To use the iblobs function for object detection in MATLAB, follow these steps:

1. Load the image you want to process into MATLAB and convert it to grayscale if necessary.

2. Apply any necessary image preprocessing techniques such as filtering, thresholding or morphological operations.

3. Use the iblobs function to detect the objects in the image. This function returns a structure array containing all the information about the detected objects such as their coordinates, sizes, and colors.

Here is an example code snippet:

main.m
% Load and convert image to grayscale
img = imread('example.jpg');
gray_img = rgb2gray(img);

% Apply thresholding to obtain a binary image
bw_img = imbinarize(gray_img);

% Use iblobs function to detect objects in the binary image
blobs = iblobs(bw_img);
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This code will detect all the objects in the binary image and store their information in the blobs structure array. You can then use this information for further analysis or to draw bounding boxes around the objects in the original image.